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Published Papers Using Dataport

Researchers from around the world have used Pecan Street data to publish 300+ peer-reviewed papers on topics ranging from electric vehicle charging and energy storage to solar energy and electricity pricing.

Academic Papers Using Pecan Street Data

Title Topic/Tags Date Published
Title Link Topic/Tags Date Published
Profiles, harmonics, and transient analysis of 240 V air conditioning load during peak demand air conditioning, harmonics, load characterization, peak load demand, power factor, power quality, voltage variation Jul 2016
SolarClique: Detecting Anomalies in Residential Solar Arrays algorithms, population Jun 2018
A collaborative framework for annotating energy datasets appliances states, data mining, disaggregation, ground truth acquisition Nov 2015
Motif-based Association Rule Mining and Clustering Technique for Determining Energy Usage Patterns for Smart Meter Data association rule, clustering, data analytics, motif, smart meter, temporal data mining Jan 2019
Inferring the behavior of distributed energy resources with online learning real-time systems, algorithms, home appliances, power measurement, load modeling Oct 2015
Integrated PV Charging of EV Fleet Based on Energy Prices, V2G and Offer of Reserves automobiles, batteries, EV, employment, optimization, state of charge Oct 2017
Improving solar-induced grid-level flexibility requirements using residential central utility plants batteries, cooling, sensitivity, production, substations, analytical models Jun 2017
Characterization of Storage Sizing for an Off-Grid House in the US and the Netherlands batteries, household, islanded, off grid, sea salt battery, sizing, storage Jan 2018
Management of renewable energy source and battery bank for power losses optimization energy storage, batteries, microgrid, distributed control, distributed generation, power sharing Jan 2019
Community energy storage: A smart choice for the smart grid? batteries, energy storage, community, distributed PV Feb 2018
Optimal battery sizing of smart home via convex programming batteries, energy storage, energy management, optimal sizing, PV, smart homes Dec 2017
An online disaggregation algorithm and its application to demand control statistical modeling, algorithms, particle filters Nov 2017
Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset building energy, data analysis, energy benchmarking, load profile Feb 2019
On the feature engineering of building energy data mining building energy, feature engineering, data analysis, principal component analysis, learning methods May 2018
An Open Source Smart Building Energy Management Platform through VOLTTRON building energy, volttron Aug 2017
One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids capacity charges, electricity tariffs, residential, microgrids, simulation, smart electricity markets, time-varying rates Jan 2018
Optimal dispatch and equipment sizing of a residential central utility plant for improving rooftop solar integration central utility plant, distributed energy systems, mixed integer linear program Mar 2018
capacity charges, clectricity tariffs, residential, microgrid, simulation, smart electricity markets, time-varying rates programming, microgrid Jun 2016
Enabling technologies and technical solutions for the Energy Internet: lessons learned and case studies from Pecan Street Inc. clean energy, distributed generation, distributed PV, energy internet, internet of things, prosumers, smart grid Jan 2019
Clustering analysis of residential loads clustering, residential, load Sep 2023
SGsim: Co-simulation Framework for ICT-Enabled Power Distribution Grids communication system, conservation voltage reduction, electricity distribution network, smart grid May 2014
Data-driven modeling of solar-powered urban microgrids complex networks, distributed generation, microgrid, power systems, resilience, PV Jan 2016
Short-term residential electric load forecasting: A compressive spatio-temporal approach data decomposition, load forecasting, residential, spatial correlation Jan 2016
Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate computer science Oct 2014
Clustering Residential Electricity Load Curves via Community Detection in Network computer science, data structures & algorithms, social & information networks Nov 2018
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives computer science, multiagent systems Dec 2018
Non-intrusive Air Leakage Detection in Residential Homes computing methodologies, machine learning, neural network Jan 2018
Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic computing methodologies, modeling and simulation, model development and analysis, modeling methodologies Nov 2015
Context-aware and user-centric residential energy management context, engines, sensors, energy management, smart grids, scalability, cognition Mar 2017
Reducing the cost of operational water on military bases through modeling, optimization, and control control, optimization, water, energy, military May 2017
Residential Short-Term Load Forecasting Using Convolutional Neural Networks convolution, feature extraction, forecasting, load forecasting, load modeling, predictive models, time series analysis Oct 2018
Efficient Selection of Consumers for Automated Demand Response Programs (Found under: "Efficient integration of smart appliances for demand response programs" cross-computing, metrics, mathematics of computing, probability, statistics, statistical paradigms Nov 2018
Spatio-Temporal Correlations in Cyber-Physical Systems: A Defense Against Data Availability Attacks cryptography, security, authentication, network properties, cyber physical systems Apr 2017
Human Behavior Aware Energy Management in Residential Cyber-Physical Systems cyber physical systems, energy scheduling, internet of things, residential energy, user behavior, user flexibility Mar 2017
Continuation power flow analysis for PV integration studies at distribution feeders daily voltage fluctuation, distribution system, load disaggreagation, PV integration, residential load Apr 2017
A preliminary investigation of water usage behavior in single-family homes daily water use, data analytics, occupant behavior, residential water consumption, water usage behavior Dec 2017
An electricity consumption model for synthesizing scalable electricity load curves data acquisition, data models, data synthesis, statistical modeling Feb 2019
Data-Driven Methodology for Energy and Peak Load Reduction of Residential HVAC Systems data analytics hvac systems, residential buildings, smart grid Sep 2023
An advanced data driven model for residential electric vehicle charging demand data mining, EV, load modeling, queuing analysis Jul 2015
Grade Analysis for households segmentation based on energy usage patterns data visualisation, home computing, pattern clustering, power engineering computing, statistical analysis Jul 2017
Bayesian State Estimation for Distribution Systems: A Deep Learning Approach (Found under: Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning) deep learning, neural network, mean squared error, algorithms Nov 2018
Greedy Deep Disaggregating Sparse Coding deep learning, dictionary learning, energy disaggregation Jun 2016
Non-intrusive Load Monitoring Using Imaging Time Series and Convolutional Neural Networks deep learning, neural network, mean squared error, algorithms Sep 2023
A House Appliances-Level Co-simulation Framework for Smart Grid Applications demand response Oct 2018
Load Flexibility for Price based Demand Response demand response, load shift, profile steering Jan 2018
Adaptive Segmentation and Machine Learning Based Potential DR Capacity Analysis demand response, LVAMI, adaptive k-means, machine learning Jun 2018
Estimating the benefits of cooperation in a residential microgrid: A data-driven approach demand response, microgrid, peak shaving Oct 2016
Neural network based optimization approach for energy demand prediction in smart grid demand side management, energy usage, load prediction, neural network, optimization techniques Jan 2018
Balancing islanded residential microgrids using demand side management demand side management, islanding, load management, microgrid Sep 2016
Assessing the potential of residential HVAC systems for demand-side management demand-side management, hvac systems, residential control Sep 2016
Integrated systems testing of a smart home for increased grid hosting capacity algorithms, load flow, testing, real-time systems, batteries, inverters, building management Jul 2016
Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings direct current, residential, energy efficiency, economics Sep 2023
How much electricity can we save by using direct current circuits in homes? Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings direct current, residential, energy efficiency, economics Oct 2016
Setting the Benchmark for Non-Intrusive Load Monitoring: A Comprehensive Assessment of AMI-based Load Disaggregation disagreggation, NILM
Distribution transformers short-term load forecasting models distribution transformer load forecasting, linear regression models, short-term load forecasting Jul 2016
Extracting and Defining Flexibility of Residential Electrical Vehicle Charging Loads dynamic demand response, EV, energy disaggregation, smart grid, smart meter Jul 2017
On Inferring how resources are shared in IoT ecosystems, a Graph Theoretic Approach ecosystems, smart meter, resource management, receivers, monitoring, internet of things, graph theory Feb 2018
Using advanced metering infrastructure to characterize residential energy use electricity Apr 2017
Comparison of two residential Smart Grid pilots in the Netherlands and in the USA, focusing on energy performance and user experiences electricity consumption, electricity generation, end-users, residential applications, smart grids Apr 2017
Electricity Market Reform electricity market, energy business model, energy internet, energy trading, prosumers, community, transactive energy Jan 2019
Electricity Market Mechanism Design for Grid-Connected Prosuming Communities electricity market, mechanism design, prosumers, PV May 2018
Electric utility behavior and demand management programs energy
Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage energy audit, energy Jan 2015
Thermostat metrics derived from HVAC cycling data for targeted utility efficiency programs energy efficiency, thermostat, energy, cost-effectiveness, air conditioning Apr 2016
Control of Shared Energy Storage Assets Within Building Clusters Using Reinforcement Learning energy storage, batteries, algorithms Sep 2018
Reliability Value of Distributed Solar+Storage Systems amidst Rare Weather Events energy storage, distributed generation planning, rare weather event, reliability value, self-sufficiency Jul 2018
The Importance of Temporal Resolution in Evaluating Residential Energy Storage energy storage, optimal operation, temporal resolution Jul 2017
A Case Study on Incentive-based Demand Response in Smart Grid energy, demand response May 2017
Contextually Supervised Source Separation with Application to Energy Disaggregation energy, disaggregation Dec 2012
The impacts of storing solar energy in the home to reduce reliance on the utility energy, energy supply and demand, energy policy, energ efficiency Jan 2017
An empirically-validated methodology to simulate electricity demand for electric vehicle charging energy, EV Aug 2014
Experimental and Data Collection Methods for a Large-Scale Smart Grid Deployment energy, smart grid, water, natural gas Feb 2014
Portion of home electricity use devoted to heating and cooling energy, smart grid, water, natural gas
A unit commitment study of the application of energy storage toward the integration of renewable generation energy, storage Jan 2012
A temporal assessment of vehicle use patterns and their impact on the provision of vehicle-to-grid services energy, vehicle-to-grid (V2G) Sep 2012
Assessing the value of information in residential building simulation: Comparing simulated and actual building loads at the circuit level energyplus, residential, simulation, energy code Oct 2017
User Behavior Modeling for Estimating Residential Energy Consumption behavior modeling, mathematical modeling, voltage spike, energy modeling, software, mathematics, simulation Oct 2016
Modeling Electric Vehicle Consumption Profiles for Short-Term Forecasting and Long-Term Simulation EV, forecasting model, probabilistic evaluation, scenario generation, smart grid, smart homes Nov 2018
The sensitivity of vehicle-to-grid revenues to plug-in electric vehicle battery size and EVSE power rating EV, vehicle-to-grid (V2G), stochastic programming, energy Jul 2014
Electricity forecasting on the individual household level enhanced based on activity patterns forecasting, neural network, electricity, machine learning, algorithms, alternative energy Apr 2017
Scalable-Application Design for the IoT internet of things, scalability, context awareness, software engineering, smart grids Jan 2017
Power Grid Probing for Load Learning inverters, task analysis, reactive power, mathematical model Jan 2018
Predicting Hourly Residential Energy Consumption using Random Forest and Support Vector Regression: An Analysis of the Impact of Household Clustering on the Performance Accuracy load forecasting Sep 2023
Local Energy Exchange Considering Heterogeneous Prosumer Preferences load management, energy trading, energy consumption, energy exchange, local energy trading, production, prosumers, PV Sep 2018
Optimal Penetration of Home Energy Management Systems in Distribution Networks Considering Transformer Aging load modeling, home automation, insulation life, power distribution planning, power transformer insulation Nov 2016
Multi-objective Optimization for Power Load Recommendation Considering User's Comfort load shifting, multi-objective optimization, algorithms Sep 2017
Volatility of Power Grids Under Real-Time Pricing mathematical analysis, marginal cost pricing, real-time pricing, volatility May 2012
A Scalable Machine Learning Algorithm Utilizing Cloud Computing for Demand Forecasting in Smart Grids machine learning, demand forecasting, EV Sep 2018
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach energy, disagreggation Aug 2017
Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids mathematics of computing, information theory, computing methodologies, modeling and simulation, simulation theory, systems theory Jun 2015
Performance comparison framework for energy disaggregation systems confusion matrices, device-level information, energy disaggregation, event classification, power assignment, reactive power, sampling frequency Nov 2015
A Frequency Based Real-time Electricity Rate for Residential Prosumers microgrid, autonomous, economic dispatch, energy cell, energy router, transactive control, distributed Jul 2017
Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling microgrid, energy, energy exchange, optimization, economics Jan 2017
Modeling and Simulation of a Hybrid Energy Storage System for Residential Grid-Tied Solar Microgrid Systems microgrid, PV, hybrid energy storage systems, grid-tied, renewable energy, system modeling, batteries May 2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach distortion, information theory, distributed control system, deep learning, optimization problem, interaction, neural network Dec 2017
Clustering Approach for Short Term Electricity Forecasting neural network, hierarchical clustering, smart meter, time series clustering Jun 2015
Non-intrusive disaggregation of residential air-conditioning loads from sub-hourly smart meter data nonintrusive load monitoring, disagreggation, air conditioning, smart meter, energy Oct 2014
Blockchain Electricity Trading Under Demurrage optimization, blockchain, generators, load management, peer-to-peer computing, power markets, smart contracts Jan 2019
Community-scale residential air conditioning control for effective grid management peak demand, storage, air conditioning,energy Oct 2014
The “Smart Dim Fuse”: A new approach to load control as a distributed energy resource power demand, home appliances, aggregates, voltage measurement, voltage control, topology, power measurement Jul 2017
Regression-based Inverter Control for Decentralized Optimal Power Flow and Voltage Regulation inverters, voltage regulation, transformer, network model, control theory, maxima and minima, transformers, tweens decigram, quantum fluctuation Jul 2016
On the reliability gain of neighborhood coalitions: A data-driven study power systems, smart grid, energy demand, geographical diversity, neighborhood coalitions, demand, reliability Nov 2016
Shared Solar-powered EV Charging Stations: Feasibility and Benefits PV, EV, batteries Dec 2013
A multi-objective assessment of the effect of solar PV array orientation and tilt on energy production and system economics PV, peak demand, optimization, energy Oct 2014
Variable Speed Drives for Power Factor Correction in the Water Sector PV, power factor, power system stability, variable speed drives, energy Aug 2014
Analysis of high-resolution electric vehicle charging on time-of-use grid demands reactive power, loading, EV, batteries, power quality, power demand Jul 2015
Real-Time Energy Disaggregation of a Distribution Feeder's Demand Using Online Learning load modeling, predictive models, power measurement, machine learning, load forecasting, energy disaggregation, real-time filtering Jan 2017
Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics dynamic pricing, electricity market, load estimation, peak demand minimization, pricing, power demand, optimization Oct 2016
Household Segmentation by Load Shape and Daily Consumption smart meter data, unsupervised learning, segmentation, pv and storage, variability Aug 2017
An Advanced Data Driven Model for Residential Plugin Hybrid Electric Vehicle Charging Demand behavior, queueing theory, simulation, load profile, population parameter, hybrid kernel, projections & predictions Sep 2023
Clustering analysis of residential electricity demand profiles smart meter, energy Dec 2014
Real-time demand response potential evaluation: A smart meter driven method smart meters, load management, demand response, real time Jul 2016
Dataport and NILMTK: A building data set designed for non-intrusive load monitoring smartgrid, power demand, power system measurements, signal processing algorithms Dec 2015
Data-Driven Load Modeling and Forecasting of Residential Appliances statistics, applications Oct 2018
Modeling peak load reduction and energy consumption enabled by an integrated thermal energy and water storage system for residential air conditioning systems in Austin, Texas storage, air conditioning, water, energy-water nexus, peak load, energy Jun 2015
Combining a dynamic battery model with high-resolution smart grid data to assess microgrid islanding lifetime storage, microgrid, smart grid, PV, energy Jan 2015
Applied time-series Transfer learning time series, transfer learning Feb 2018
Climate control : smart thermostats, demand response, and energy efficiency in Austin, Texas urban studies & planning Sep 2023
Residential Water Use Index - First Edition water
Water Use Behavior in Single-Family Homes: A Case Study in Texas water usage behavior, daily water use, data analytics, occupant behavior, residential water consumption Aug 2017
A non-intrusive approach for classifying residential water events using coincident electricity data water, water disaggregation, electricity Feb 2018
Electric Vehicle Charging in the 21st Century EV May 2015
Disruptive Technologies in the Cable TV and Electric Utility Industries Jun 2015
Exploiting Temporal Difference for Energy Disaggregation via Discriminative Sparse Coding disagreggation Sep 2015
Decision Support for Group-based Electricity Prices in Smart Grids Nov 2016
Appliance Usage Prediction for the Smart Home with an Application to Energy Demand Side Management And Why Accuracy is not a Good Performance Metric for this Problem real time pricing, demand side management Jan 2017
Device-Level Data Analytics to Guide Policy May 2017
Load Composition Model Workflow Jul 2017
A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling artificial intelligence, machine learning, planning and scheduling Apr 2019
A Supervised Machine Learning Approach to Control Energy Storage Devices Jan 2019
Appliance-level Residential Consumer Segmentation from Smart Meter Data Sep 2023
Data-driven simulation for energy consumption estimation in a smart home data-driven models, energy estimation, simulation Apr 2019
Deep Latent Generative Models for Energy Disaggregation Sep 2023
Disaggregating solar generation behind individual meters in real time applied computing, physical sciences and engineering, mathematics and statistics Nov 2018
Distribution Network State Estimation, Time Dependency and Fault Detection distribution networks, photovoltaic energy, customer loads aggregation Sep 2023
Electricity Consumption Forecasting for Smart Grid using the Multi-Factor Back-Propagation Neural Network electrical engineering, systems science, signal processing Feb 2019
Energetic Potential for Demand Response in Detached Single Family Homes in Austin, TX energy consumption, load management, home appliances, HVAC, load flow control, water heating, clustering algorithms Feb 2019
Estimating Buildings' Parameters over Time Including Prior Knowledge Jan 2019
Estimating PV Power from Aggregate Power Measurements within the Distribution Grid Feb 2019
Experiential Preference Elicitation for Autonomous Heating and Cooling Systems Sep 2023
Experimental Evidence on the Effect of Information and Pricing on Residential Electricity Consumption Feb 2019
Human Circadian Rhythm Detection Using Modern Power Grids
Investigation of Approaches for Incorporating Smart Meter Data in Load and PV Models in Medium Voltage Power System Studies Feb 2019
Learning Power Grid Topologies
Load Profile Based Electricity Consumer Clustering Using Affinity Propagation Sep 2023
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring Sep 2023
Non-intrusive load disaggregation based on deep dilated residual network load disaggregation, convolutional networks, residual network, dilated convolution May 2019
On Static and Adaptive Policies for Chance-Constrained Voltage Regulation reactive power, voltage control, uncertainty, optimization, inverters, solar power generation, random variables Oct 2018
Quantifying demand response under uncertainty in power systems Sep 2023
Residential Electric Vehicle Charging Characterization via Behavior Identification, Vehicle Classification, and Load Forecasting
Scalable Data-driven Modeling and Analytics for Smart Buildings Sep 2023
The power disaggregation algorithms and their applications to demand dispatch Mar 2019
Towards Buildings Energy Management: Using Seasonal Schedules Under Time of Use Pricing Tariff via Deep Neuro-Fuzzy Optimizer Apr 2019
Unsupervised Learning for Online Abnormality Detection in Smart Meter Data Feb 2019
Event-Detection Algorithms for Low Sampling Nonintrusive Load Monitoring Systems Based on Low Complexity Statistical Features energy monitoring, event detection, nonintrusive load monitoring, smart grids Apr 2019
Hierarchical and Distributed Machine Learning Inference Beyond the Edge machine learning, internet of things, edge computing, energy efficient computing Jan 2019
Optimal Residential Battery Storage Operations Using Robust Data-driven Dynamic Programming battery, energy storage, solar PV, robust optimization, dynamic programming, stochastic control Feb 2019
The Future of Electric Power Grid Apr 2019
Electric Vehicle (EV) Charging Management and Relieve Impacts in Grids electric vehicle charging, batteries, power demand, load management, charging stations, power quality Aug 2018
Adaptive Neuro-Fuzzy Interface System-based Energy Management Application for a Residential Photovoltaic On-Grid System adaptive neuro-fuzzy inference system, demand side management, energy management, smart grid Apr 2019
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings anomaly detection, buildings, energy consumption, performance evaluation, testing, principal component analysis May 2019
The Role of Off-Grid Houses in the Energy Transition with a Case Study in the Netherlands electricity access; solar PV; off-grid house; sustainable development goals; sea-salt battery; glycerol fuel cell May 2019
A behavior-centered framework for real-time control and load-shedding using aggregated residential energy resources in distribution microgrids residential load synthesis; aggregated control; demand response; load shedding Sep 2019
A scheduling optimization model of electric water heaters for electricity cost minimization with limited information water heating; resistance heating; mathematical model, load modeling; optimization; temperature sensors; storage tanks May 2019
AMI Data Quality and Collection Method Considerations for Improving the Accuracy of Distribution Models Jun 2019
Data driven modeling and optimization of energy systems engineering; mechanical engineering; energy conservation Jun 2019
Deep Recurrent Adversarial Learning for Privacy-Preserving Smart Meter Data Release Jun 2019
Distributed Energy Resource (DER) Analytics Jun 2019
Economic Dispatch of Consumer Loads Using Machine Learning in Smart Grid Environment Sep 2023
Load Learning and Topology Optimization for Power Networks Sep 2023
Review and Perspectives on Data Sharing and Privacy in Expanding Electricity Access
Decomposing Residential Monthly Electric Utility Bill Into HVAC Energy Use Using Machine Learning HVAC; machine learning; building physics; polynomial regression model; degree hours; monthly utility bill Sep 2023
Dilated Residual Attention Network for Load Disaggregation load disaggregation; dilated convolution; residual learning; attention mechanism Aug 2019
Residential Aggregator Risk Constrained Profit Maximization Under Demand Response Program Sep 2023
Household Energy Prediction: Methods and Applications for Smarter Grid Design predictive models; data models, machine learning; computational modeling; security; market research; computer architecture Jun 2019
Implications of Residential Battery Charge and Discharge Rates on Self-consumption and Peak Power Exchange batteries; electric discharges; buildings; generators; power markets; data aggregation; pv systems; pv Jun 2019
Leveraging Socioeconomic Information and Deep Learning for Residential Load Pattern Prediction Jul 2019
Phasor-Based Adaptive Control of a Test-Feeder Distribution Network: Application of Retrospective Cost Adaptive Control to the IEEE 13-Node Test Feeder adaptation models; load modeling; numerical models; mathematical model; adaptive control; MIMO communication; phasor measurement units Jul 2019
Residential loads flexibility potential for demand response using energy consumption patterns and user segments demand response; smart appliances; connected homes; flexibility; residential buildings; grid-interactive efficient buildings Nov 2019
Sizing of Electrical and Thermal Storage Systems in the Nearly Zero Energy Building Environment - A Comparative Assessment battery storage plants; building integrated PV; PV; building integrated photovoltaics; building management systems; energy consumption; heat pumps; investment; power generation economics; thermal energy storage Jul 2019
Systematic Study of Data Requirements and AMI Capabilities for Smart Meter Analytics Aug 2019
The role of electric vehicles in a decarbonized economy: Supporting a reliable, affordable and efficient electric system transportation; electric vehicles; electric vehicle charging; ev; grid management; decarbonization Jul 2019
A Data-driven Approach for Targeting Residential Customers for Energy Efficiency Programs energy consumption; buildings; smart meters; home appliances; temperature distribution; image edge detection; energy conservation Aug 2019
A VSM-Based DER Dispatch MINLP for Volt-VAR Control in Unbalanced Power Distribution Systems Sep 2023
Automated Detection of Electric Vehicles in Hourly Smart Meter Data Jun 2019
Cross-subsidies Among Residential Prosumers from Tariff Design and Metering Infrastructure electricity tariffs; smart meters; distributed generation; cross-subsidies Aug 2019
Data-driven identification of consumers with deferrable loads for demand response programs demand response; deferrable loads; flexibility; time-series analysis Aug 2019
Fair load shedding solutions for developing countries Jun 2019
K-means Based Clustering Analysis of Household Energy Consumption Dec 2018
Minimizing Cost Sharing Among Residential Electric Customers with Solar and Storage
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification NILM; energy disaggregation; multi-label classification Aug 2019
Short-Term Probabilistic Load Forecasting at Low Aggregation Levels Using Convolutional Neural Networks load modeling; predictive models; benchmark testing; forecasting; load forecasting; probabilistic logic; uncertainty Jun 2019
The Effects of Residential Battery Storage on Grid Impact Indicators batteries; optimization; buildings; databases; generators; mathematical model; benchmark testing Jun 2019
Training-Free Non-Intrusive Load Extracting of Residential Electric Vehicle Charging Loads electric vehicle charging; signal processing algorithms; home appliances; filtering; clustering algorithms; interference; fitting Aug 2019
Adjusted Feature-Aware k-Nearest Neighbors: Utilizing Local Permutation-Based Error for Short-Term Residential Building Load Forecasting measurement; load modeling; predictive models; buildings; forecasting; load forecasting; weather forecasting Oct 2018
Appliance Identification Through Nonintrusive Load Monitoring in Residences Sep 2019
Comparing consumer perceptions of appliances’ electricity use to appliances’ actual direct-metered consumption Oct 2019
Enhancing the Spatio-Temporal Observability of Residential Loads Oct 2019
Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models Sep 2023
Real-time Stochastic Optimization of Energy Storage Management using Rolling Horizon Forecasts for Residential PV Applications Oct 2019
A Data-Driven Approach for Providing Frequency Regulation with Aggregated Residential HVAC Units Oct 2019
A Demand Response Scheme in Smart Grid with Clustering of Residential Customers energy consumption; home appliances; smart grids; companies; peak to average power ratio; conferences Nov 2019
A Framework for Integrating Intelligent Mobile Energy Storage into Energy Distribution Systems energy storage; electric vehicles; energy distribution; smart grids Nov 2019
A scheduling optimization model of electric water heaters for electricity cost minimization with limited information electricity markets; smart grid; flexibility; optimization Jul 2019
An Algorithmic View on Optimal Storage Sizing
APPLICATION OF COOPERATIVE GAME THEORY IN SMART GRIDS Dec 2019
Artificial Neural Network-Based Adaptive Voltage Regulation in Distribution Systems using Data-Driven Stochastic Optimization voltage control; inverters; reactive power; load modeling; uncertainty; optimization; neural networks Nov 2019
Behind-the-Meter Energy Storage: Economic Assessment and System Impacts in Georgia Oct 2019
Can the Power of Platforms be Harnessed for Governance? Nov 2019
Centralized flexibility services for distribution system operators through distributed flexible resources Oct 2019
Chapter 4.4 - A brief history of behaviour in US energy programs: Landscape, integration, and future opportunities behaviour change; energy and behavior; energy efficiency; ENERGY STAR; government; influence; low income; market actors; market transformation; program administrators Sep 2023
Coordination for Prosumers' Electricity Trading Agents via Distributed Optimization couplings; optimization; power markets; electrical engineering; indexes; distributed algorithms Sep 2019
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release data privacy; training; distortion; privacy; smart grids; power measurement Nov 2019
Optimal Energy Supply Scheduling for a Single Household: Integrating Machine Learning for Power Forecasting Nov 2019
Semantic search in household energy consumption segmentation through descriptive characterization smart grid; data mining; hardware; clustering; smart grid; probability and statistics Nov 2019
Smart Households' Available Aggregated Capacity Day-ahead Forecast Model for Load Aggregators under Incentive-based Demand Response Program predictive models; home appliances; load modeling; forecasting; load management; estimation; feature extraction Nov 2019
The case for Bi-directional charging of electric vehicles in low voltage distribution networks EV; losses; low-voltage networks; vehicle-to-grid Nov 2019
Vulnerability Analysis for Data Driven Pricing Schemes electricity market; adversarial machine learning; sensitivity analysis Nov 2019
A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation PV size; tilt; PV parameter estimation; solar; smart meters; smart grid; machine learning; deep neural networks Jan 2020
A hybrid model for building energy consumption forecasting using long short term memory networks buildings; energy consumption; forecasting models; artificial intelligence; neural networks; optimization Mar 2020
Data-driven Identification of Occupant Thermostat-Behavior Dynamics
Inferring Smart Schedules for Dumb Thermostats energy metering; energy distribution; power and energy; hardware; artificial intelligence; computing methodologies; consumer products; operations research Oct 2018
Deep Transform Learning Dec 2019
Robust Data-driven Profile-based Pricing Schemes computational engineering; finance; science
Simulating a residential building stock to support regional efficiency policy residential; buildings; energy; simulation; efficiency; policy
Flexible Machine Learning-Based Cyberattack Detection Using Spatiotemporal Patterns for Distribution Systems cyberattack detection; distribution systems; graph laplacian; machine learning; spatiotemporal patterns
Effective solar prosumer identification using net smart meter data Jun 2020
Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks - Advanced Demand Profiling Jan 2020
A systematic analysis of meteorological variables for PV output power estimation PV; solar power estimation; meteorological variables; machine learning; regression methods Jun 2020
A Novel Application of Smart Grid Data: Human Circadian Rhythm Detection smart grids; big data application; electricity consumption; circadian rhythm; public health Nov 2019
A Deep Generative Model for Non-intrusive Identification of EV Charging Profiles electric vehicles charging; energy disaggregation; load modeling; deep learning; statistical inference May 2020
Anomaly Detection for Primary Distribution System Measurements using Principal Component Analysis anomaly detection; distribution system; primary voltage measurements; princippal component analysis Mar 2020
As one falls, another rises? Residential peak load reduction through electricity rate structures optimization; load shifting; demand response; electricity pricing; residential; appliances Sep 2020
Benchmarks for Grid Flexibility Prediction: Enabling Progress and Machine Learning Applications machine learning Apr 2020
Descriptive statistical approach for the assessment of the output of a virtual power plant in a secondary distribution network distributed power generation; distribution networks; load forecasting; neural nets; pattern clustering; power engineering computing; power plants; smart power grids; statistical analysis May 2020
Electricity as a Service: Cost Causation-based Utility Rate Model in the Future Distribution Grid May 2020
Energy Disaggregation with Semi-supervised Sparse Coding May 2020
Energy storage and multi energy systems in renewable energy communities with high renewable energy penetration polygeneration; power-to-gas; battery energy storage; thermal energy storage; battery storage; thermal storage; P2G; hydrogen; renewable energy communities Jun 2020
Forecasting Electricity Consumption in Residential Buildings for Home Energy Management Systems home consumption forecasting; HVAC consumption forecasting; prediction methods; neural networks; multi-objective optimization; home energy management systems; ensemble modelling Sep 2023
Identifying Errors in Service Transformer Connections Aug 2020
Impacts of PV Capacity Allocation Methods on Distribution Planning Studies distribution planning; hosting capacity; photovoltaics; PV; PV capacity allocation; zonal allocation
Moving horizon-based optimal scheduling of EV charging: A power system-cognizant approach Mar 2020
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring convolutive dictionary, transform learning; multi-label classification; proximal alternating method; NILM; energy disaggregation May 2020
Optimization Strategy Based on Deep Reinforcement Learning for Home Energy Management home energy management system; deep reinforcement learning; smart grid; demand response
Predicting Household Energy Consumption in Smart Grid Based on Seasonality Using Stochastic Markov Chain
Prediction of Energy Demand in Smart Grid using Hybrid Approach artificial neural network; SARIMA, LSTM; demand response; energy prediction, smart grid Mar 2020
RepEL: A Utility-preserving Privacy System for IoT-based Energy Meters
Reputation-Based Fair Power Allocation to Plug-in Electric Vehicles in the Smart Grid
Short-term Meter Level Load Forecasting of Residential Customers Based on Smart Meter's Data forecasting; machine learning; metered demand; computational efficiency Feb 2020
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges Feb 2018
Secondary Network Parameter Estimation for Distribution Transformers Feb 2020
Short-Term Load Forecasting Using Modified Sequence-to-Sequence Deep Learning Framework Mar 2020
Sustainability or continuous damage: A behavior study of prosumers’ electricity consumption after installing household distributed energy resources behavior study; distributed energy resources; prosumeres; electricity consumption Aug 2020
The good, the bad, and the ugly: Data-driven load profile discord identification in a large building portfolio smart meter; portfolio analysis; load profile; data mining, discord detection May 2020
Thinking critically about smart city experimentation urban living lab; smart grid; governmentality; experimentation; entrepreneurialism Sep 2023
Towards a Unified Standards for Smart Infrastructure Datasets Sep 2023
Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data smart meter data; energy signatures; unsupervised learning; dynamic time warping; clustering; data mining, machine learning Apr 2020
A Hierarchical Multi-Resolution Agent Based Modeling and Simulation Framework for Household Electricity Demand Profile
A Machine Learning Framework to Infer Time-of-Use of Flexible Loads: Resident Behavior Learning for Demand Response buildings; shape; training; smart meters; data models; electric breakdown
A Novel Real-Time Energy Management Strategy for Gird-Friendly Microgrid: Harnessing Internal Fluctuation Internally
CAMS-TEMPO: global and European emission temporal profile maps for atmospheric chemistry modelling
Changes in Electricity Load Profiles Under COVID-19: Implications of “The New Normal” for Electricity Demand COVID-19; diurnal cycle; electricity load profile
Cross-subsidies among Residential Electricity Prosumers from Tariff Design and Metering Infrastructure electricity metering; renewable energy; tariff design; cross-subsidies
CU-BEMS, smart building electricity consumption and indoor environmental sensor datasets
Data-driven Planning for Renewable Distributed Generation in Distribution Systems planning; uncertainty; optimization; renewable energy sources; reactive power; random variables; distributed power generation
Deep Analytics for Management and Cybersecurity of the National Energy Grid big data platform; deep analytics; cybersercurity; usage patterns; anomaly detection; lexical link analysis; causal learning
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints optimization; control; optimization and control
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids optimization; control; optimization and control; machine learning
Efficient Power Sharing at the Edge by Building a Tangible Micro-Grid – the Texas Case
Electrical Load Forecasting Using Edge Computing and Federated Learning federated learning; energy load forecasting; edge computing; deep neural networks; LSTM; smart grid.
Intelligent physical systems for strategic planning and management of enterprise information intelligent physical system; strategic planning; enterprise information; deep learning; potential electricity system Sep 2020
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks optimization and control; optimization; control Jul 2020
Optimal Energy Management of Energy Internet: A Distributed Actor-Critic Reinforcement Learning Method energy management; learning; AI; information exchange; generators; power generation; load modeling; erbium Jul 2020
Powerstrip: High-Performance Compression for Energy Data Jun 2020
Quantitative Assessment of U.S. Bulk Power Systems and Market Operations during the COVID-19 Pandemic COVID-19; power system; electricity market; data-driven analysis; impact analysis Aug 2020
Seasonal decomposition-based stochastic generators for building-level electricity use: choosing seasonal components and remainder models Jun 2020
Supervised Non-Intrusive Load Monitoring Algorithm for Electric Vehicle Identification discrete wavelet transformation; electric vehicle; load signature; non-intrusive load monitoring; random forest Jun 2020
Temporal Motifs in Smart Grid smart grid; temporal motifs; complex systems; cyber-physical; system Jan 2020
The Benefits of Dynamically Resizing Residential Storage energy storage; dynamic sizing; renewable energy Jun 2020
Towards Privacy-preserving Anomaly-based Attack Detection against Data Falsification in Smart Grid
Two-stage building energy consumption clustering based on temporal and peak demand patterns signal processing; machine learning Aug 2020
A Meta-learning based Distribution System Load Forecasting Model Selection Framework Sep 2020
Deep Learning based Covert Attack Identification for Industrial Control Systems Sep 2020
DER Information Unaware Coordination via Day-ahead Dynamic Power Bounds Sep 2020
Profit Allocation in Renewables Based Community Microgrids with Aggregation and Self-Sufficiency microgrids; resource management; production; conferences; cyber-physical systems; industries; game theory Sep 2020
Putting Our Industry's Data to Work: A Case Study of Large-Scale Data Aggregation Sep 2020
Spectral Differential Privacy: Application to Smart Meter Data
A multiobjective analysis of the potential of scheduling electrical vehicle charging for flattening the duck curve duck curve; scheduling of charging demand; electric vehicles; multiobjective quadratic programming Jan 2021
A Novel Energy Management System for Solar Electric Vehicles schedules; power demand; systems operation; predictive models; ev; smart grids; surges; solar electric vehicle; long short-term memory; LSTM Oct 2020
A Regression-based Voltage Estimation Method for Distribution Volt-Var Control with Limited Data artificial intelligence; machine learning; power distribution; reactive power control; regression; voltage control Oct 2020
A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems distribution feeders; fast incremental clustering; voltage sensitivity; zonal Volt/VAR control Dec 2020
Activity Detection And Modeling Using Smart Meter Data: Concept And Case Studies human-computer interaction; machine learning Oct 2020
Adaptive Day-Ahead Prediction of Resilient Power Distribution Network Partitions resiliency; adaptive system; graph partitioning; spectral clustering analysis; active distribution network; distributed energy resources Jan 2021
An Efficient Electric Energy Consumption Prediction System Using Machine Learning Framework sustainability; preprocessing; electricity consumption prediction; machine learning; random forest classifier; decision trees Sep 2023
Analysis on Operation Modes of Residential BESS with Balcony-PV for Apartment Houses in Korea Dec 2020
Association Rule Mining for Localizing Solar Power in Different Distribution Grid Feeders data mining; voltage measurement; companies; solar panels; sensors; substations; smart meters Nov 2020
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management reinforcement learning; building energy congtrol; smart buildings; smart grid Dec 2020
Co-optimization and community: Maximizing the benefits of distributed electricity and water technologies distributed energy; distributed water; energy-water nexus; PV; water recycling; rainwater harvesting Jan 2021
Compensation Mechanisms for Double Auctions in Peer-to-Peer Local Energy Markets Oct 2020
Cyber-Attacks on Smart Home Energy Management Systems under Aggregators computer crimes; cyber-attack; home energy management systems; smart grids; aggregators; intelligent control Nov 2020
Deep learning for pattern recognition of photovoltaic energy generation deep learning; photovoltaic energy; convolutional neural network; long short-term memory; LSTM; energy disaggregation Jan 2021
Disaggregation of household solar energy generation using censored smart meter data solar energy; smart meters; data disaggregation; residential sector; energy generation Jan 2021
Economic analysis of household photovoltaic and reused-battery energy storage systems based on solar-load deep scenario generation under multi-tariff policies of China reused batteries; household photovoltaic; deep scenario generation; solar-load uncertainty Jan 2021
Estimating residential building energy consumption using overhead imagery buildings; energy demand; energy consumption; convolutional neural network; random forest Dec 2020
MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings computing methodologies; artificial intelligence; distributed artificial intelligence; multi-agent systems Nov 2020
Multi-Objective Residential Electricity Scheduling Based on Forecasting Generation and Demand via LSTM analytical models; biological system modeling; predictive models; wind turbines; forecasting; optimization; load modeling Oct 2020
Peer-to-Peer Energy Sharing Model for Interconnected Home Microgrids building integrated photovoltaics; buildings; distributed power generation; power generation economics; power markets Sep 2020
Solar Disaggregation: State of the Art and Open Challenges distributed solar generation; disaggregation; source separation Sep 2023
SolarTrader: Enabling Distributed Solar Energy Trading in Residential Virtual Power Plants solar energy trading; ML; deep learning; reinforcement learning Sep 2023
The Influence of Advanced DSM on Performance of Distribution Networks with Renewable Generation reactive power; sensitivity; distribution networks; propagation losses; loss measurement; smart grids; load modeling Oct 2020
The Smart Appliance Scheduling Problem: A Bayesian Optimization Approach beyesian optimization; smart appliance scheduling problem; user's preference elicitation; constraint satisfaction problems Nov 2020
Charging Load Pattern Extraction for Residential Electric Vehicles: A Training-free Non-intrusive Method data mining; smart meters; feature extraction; signal processing algorithms; market research; discrete wavelet transforms; indexes Feb 2021
Deep-Learning Framework for Estimating Behind the Meter Solar Generation and Electric Vehicle Penetration Level and Time-of-Use Jan 2021
Empirically Modeling the Energy Implications of Cool Roof Retrofits Dec 2020
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids signal processing; machine learning Feb 2021
Fuzzy Logic Based Efficient Load Management Scheme in Vehicle-To-Grid (V2G) Environments Dec 2020
Non-invasive load-shed authentication model for demand response applications assisted by event-based non-intrusive load monitoring non-intrusive load monitoring; load-shed authentication; demand response; machine learning model; genetic algorithm; energy efficiency Mar 2021
Representative Profiling of Prosumers with Local Distributed Energy Resources and Electric Vehicles Using Unsupervised Machine Learning distributed energy resources; electric vehicles; EV; prosumers; unsupervised machine learning; machine learning Nov 2020
The Mycorrho-grid: A Blockchain-based Mycorrhizal Model for Smart Solar Microgrids Mar 2020
Watt’s up at Home? Smart Meter Data Analytics from a Consumer-Centric Perspective smart metering; smart power grids; power consumption data; energy data processing; user-centric applications of energy data Jan 2021
Peer-to-peer energy trading in a microgrid leveraged by smart contracts emerging applications of agent-based; systems; auctions, peer-to-peer energy trading; smart contracts Jun 2021
Quantifying the Emissions Impact of Repurposed EV Battey Packs in Residential Settings battery storage; emission reduction; residential energy storage; battery repurposing; EVs; EV; electric vehicles Mar 2021
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning federated learning; smart grid; prosumers; wireless communication Apr 2021
Efficient Online Heuristic Approach for Handling Fluctuation in Renewable Energy in a Microgrid Microgrids; renewable energy sources; heuristic algorithms; stochastic processes; schedules; real-time systems; predictive models Mar 2021
Effective factors for residential building energy modeling using feature engineering Dec 2021
Depth-based Outlier Detection for Grouped Smart Meters: a Functional Data Analysis Toolbox outlier detection, evolution outlier, smart meters, functional data analysis, functional time series, functional depth measures. Jul 2021
A Survey on Deep Learning Applications for Electric Vehicles in Micro Grids Deep learning, economics, renewable energy sources, privacy, transportation industry, electric vehicles, batteries May 2021
A MYCORRHIZAL MODEL FOR SMART SOLAR MICROGRIDS
A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation Solar disaggregation, non-intrusive load monitoring, smart meter May 2021
Space cooling energy usage prediction based on utility data for residential buildings using machine learning methods Cooling energy; energy prediction; utility data; machine learning; XGBoost model; parameter tuning; building characteristics; weather features Jun 2021
Small Steps with Big Data: Using Machine Learning in Energy and Environmental Economics Jun 2021
Sizing Solar Panels and Storage for Multiple Roofs Energy Storage, Solar Power, Sizing Jun 2021
REINFORCEMENT LEARNING WITH NEURAL NETWORK-BASED VALUE FUNCTION APPROXIMATION TO MANAGE FLEXIBLE ELECTRIC LOADS AND DISTRIBUTED ENERGY RESOURCES machine learning, reinforcement learning, energy, consumption forecasting, neural networks, value function approximation, VFA Jun 2021
Realizing Combined Value Streams from Utility-Operated Demand Response Resources demand response, frequency regulation, peak shaving, residential HVACs, water heaters Jun 2021
Real-Time and Robust Hyperdimensional Classification Jun 2021
Quick Line Outage Identification in Urban Distribution Grids via Smart Meters Apr 2021
PRS-P2P: A Prosumer Recommender System for Secure P2P Energy Trading using Q-Learning Towards 6G Recommender System, artificial intelligence, AI, smart grid, reinforcement learning, blockchain Jul 2021
Pricing and Energy Trading in Peer-to-peer Zero Marginal-cost Microgrids Apr 2021
Predicting Winners and Losers under Time-Of-Use Tariffs Using Smart Meter Data Time-of-use pricing; demand-side management; smart meters; electricity consumption modelling; load shifting; residential electricity demand Jul 2021
Peer-to-peer energy trading in a microgrid leveraged by smart contracts Emerging applications of agent-based systems; auctions; peer-to-peer energy trading; smart contracts Jun 2021
Optimal Bidding Strategy of Demand Response Aggregator Based On Customers’ Responsiveness Behaviors Modeling Under Different Incentives Home appliances, energy consumption, power systems, load management, batteries, electricity supply industry Apr 2021
Non-Intrusive Load Monitoring Using a CNNLSTM-RF Model Considering Label Correlation and Class-Imbalance NILM, CNN, LSTM, RF, Multi-label Classification, Class-Imbalance
Multi-label LSTM autoencoder for non-intrusive appliance load monitoring Deep learning, LSTM, autoencoderr, non-intrusive load monitoring, load monitoring, energy disaggregation Oct 2021
Managing the duck curve: Energy culture and participation in local energy management programs in the United States Community, energy management, energy culture, renewables, energy feedback technologies, social norms May 2021
A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning deep learning, training, computer architecture, smart homes, collaborative work, data processing, data models Aug 2021
Data-driven Modeling for Distribution Grids Under Partial Observability Aug 2021
Differential Privacy in Consumer Behavior Analysis
Evaluation of Compressed Residential Energy Forecasting Models
Home energy management under correlated uncertainties: A statistical analysis through Copula home energy management, correlated scenarios, copula, uncertainty modeling Aug 2021
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
Managing the duck curve: Energy culture and participation in local energy management programs in the United States community, energy culture, energy feedback technologies, energy management, renewables, social norms Sep 2021
Non-Intrusive Load Monitoring using Multi-Output CNNs non intrustive load monitoring, time series, convolutional neural networks Jul 2021
Online Detection of Inter-turn Winding Faults in Single-Phase Distribution Transformers Using Smart Meter Data power transformer insulation, degradation, phase transformers, voltage measurement, oil insulation, windings, smart meters Aug 2021
Reporting Interval Impact on Deep Residential Energy Measurement Prediction
Role of Prediction in Data-driven Pricing Schemes demand side management, smart cities, pricing, predictive modeling, benchmark testing, electricity supply industry, robustness Aug 2021
Smart Grid Advancements Toward Enhanced Meter Privacy and Grid Reliability
Adversarial Machine Learning Against False Data Injection Attack Detection for Smart Grid Demand Response smart grid, demand response, false data injection, deep learning
Identifying the Relationship between Seasonal Variation in Residential Load and Socioeconomic Characteristics smart meter, residential electricity load, clustering, relative entropy, classification, socioeconomic factor Nov 2021
Multi-label Deep Blind Compressed Sensing for Low-frequency Non-intrusive Load Monitoring energy disaggregation, non-intrusive load monitoring, deep learning, compressed sensing Sep 2021
A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources ambiguity set, chance constraints, distributionally robust, distributed energy resources, DER, demand response, flexibility region, hybrid energy systems Oct 2021
A Differential Privacy-enhanced Federated Learning Method for Short-Term Household Load Forecasting in Smart Grid load forcasting, smart grid, federated learning, differential privacy Jan 2022
A New Selection Tool of Retail Electric Provider for Prosumers with Local Distributed Resources and Plug-in Electric Vehicles batteries, clustering methods, electric vehicles, EV, energy storage, renewable energy Jan 2022
A Novel Data Segmentation Method for Data-driven Phase Identification data segmentation, phase identification, machine learning, ensemble clustering, smart meter data analysis, distribution systems, advanced metering infrastructure, AMI Nov 2021
A Supervised-Learning based Hour-Ahead Demand Response of a Behavior-based HEMS approximating MILP Optimization MILP, supervised learning, behavior-based, HEMS, real-time price, demand response, DRL. Nov 2021
A two-stage Energy Management System for smart buildings reducing the impact of demand uncertainty Energy management, forecast error, demand uncertainty, optimization algorithm Mar 2017
An artificial neural network-based forecasting model of energy-related time series for electrical grid management Modeling, artificial neural network, solar radiation, wind speed, grid management Jun 2021
Appliance Level Short-term Load Forecasting via Recurrent Neural Network Short-term load forecasting, recurrent neural network, long short-term memory network, deep learning Nov 2021
Clustering Appliance Energy Consumption Data for Occupant Energy-Behavior Modeling Occupant behavior, Home-appliances, Data-driven methods, Clustering
Cost-reflective dynamic electricity pricing for prosumers Electric rate design, photovoltaic, marginal cost, average cost, electricity bill savings Jan 2022
Design and Development of an Intelligent Tool for Retail Electric Provider Plan Selection distributed energy resources, electric vehicles, EV, retail electric providers Oct 2021
Design of Energy Storage Control Policies for a Residential Consumer and Community Jul 2021
Design of threshold-based energy storage control policy based on rule-constrained two-stage stochastic program Energy storage, rule constraint, threshold-based control policy, two-stage stochastic program May 2022
Identification of Distributed Energy Resources in Low Voltage Distribution Networks distributed energy resources, DER, k-nearest neighbors, kNN, low voltage distribution networks, supervised non-intrusive load monitoring algorithm, observability Dec 2021
Joint Optimization and Learning Approach for Smart Operation of Hydrogenbased Building Energy Systems Building energy systems, operational cost, carbon emission, uncertainty, hydrogen energy storage, deep reinforcement learning, Lyapunov optimization techniques Jan 2022
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring Dec 2021
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review Urban building energy modeling, occupancy modeling approaches, occupant-related inputs, urban data, level of details, co-simulation Feb 2022
Simulations of Electric Vehicle Usage based on a Comprehensive Characterisation of Passenger Car Mobility Dec 2021
Time-of-use Pricing for Energy Storage Investment ToU pricing, energy storage, two-stage optimization, stochastic programming, storage investment Dec 2021
Virtual net-billing: a fair energy sharing method for collective self-consumption cooperative game theory, community energy, collective self-consumption, energy sharing, peer-to-peer Dec 2021
VPeak: Exploiting Volunteer Energy Resources for Flexible Peak Shaving Smart Grid, Peak Prediction, Peak Reduction, Virtual Power Plants, Volunteer Resources, Energy Storage, Electric Vehicle, HVAC
LEARNING-BASED SITUATIONAL AWARENESS, DECISION MAKING, AND FLEXIBILITY AGGREGATION FOR POWER DISTRIBUTION SYSTEMS WITH UNCERTAINTY May 2022
Sustainability-oriented labs in transitions: An empirically grounded typology sustainability transitions, transdisciplinarity, case-based Jun 2022
Smart Decision-Making via Edge Intelligence for Smart Cities Sep 2023
Security against data falsification attacks in smart city applications
Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch Jun 2022
Resilient Operational Planning for Microgrids Against Extreme Events Jun 2022
Receding Horizon Games with Coupling Constraints for Demand-Side Management Jun 2022
Quantifying demand flexibility of building energy systems under uncertainty Renewable energy integration, grid-interactive efficient buildings, demand response, demand side management, control under uncertainty May 2022
Data-Driven Integration of Renewable Energy in Smart Grid Sep 2023
Power Consumption prediction using Random Forest model Energy, power consumption, machine learning, prediction, Artificial intelligence Apr 2022
Peak Load Estimation with the Generalized Extreme Value Distribution May 2022
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations Solar photovoltaic power forecasting, forecast combinations, PV, ensembles, particle swarm optimization, multi-resolution, multi-horizon Nov 2022
Multi-Layer Defense Algorithm Against Deep Reinforcement Learning-based Intruders in Smart Grids false data injection attacks, internet of energy, deep learning, deep Q-learning, snapshot ensemble deep neural network, deep auto encoder Mar 2022
Modeling, simulation, and experimental verification of a smart grid system smart grid, system modeling, hybrid generation, smart grid testbed, environmental verification Jan 2022
MILP-based optimal day-ahead scheduling for system-centric CEMS supporting different types of homes and energy trading Feb 2022
Machine learning in photovoltaic systems: A review machine learning, deep learning, PV, photovoltaic systems, neural network, reinforcement learning, review Aug 2022
Learning Task-Aware Energy Disaggregation: a Federated Approach Apr 2022
Knowledge-Based Systematic Feature Extraction for Identifying Households With Plug-in Electric Vehicles Feature extraction, home appliances, power demand, smart meters, knowledge based systems, vehicle-to-grid, time series analysis
NON-INTRUSIVE LOAD DISAGGREGATION METHODS FOR LOW-RATE SMART METER DATA Energy disaggregation, Non-Intrusive Load Monitoring, NILM, Smart meters, Data granularity
Improved Observability in Distribution Grids Using Correlational Measurements Observability, voltage measurement, correlation, current measurement, state estimation, measurement uncertainty, power measurement Mar 2022
High-Quality Load Pattern Reconstruction from Smart Meter Data to Enhance the Assessment of Peak Power and Network Losses distribution networks, metering, pareto analysis, smart meters Mar 2022
Forecast of Community Total Electric Load and HVAC Component Disaggregation through a New LSTM-Based Method distribution power system; smart grid; electric load forecasting; community power; baseload; disaggregation; NILM; smart meter; big data; machine learning; LSTM Mar 2022
Fairness of Sharing Renewable Energy Between Prosumers collective self-consumption, energy community, energy sharing, fairness, renewable energy May 2022
Dynamic signal recovery in distribution grids using compressive lossy measurements Distribution systems state estimation, smart grid, dynamic compressive sensing, kalman filtered compressive sensing, packet losses Sep 2022
Depth-based Outlier Detection for Grouped Smart Meters: a Functional Data Analysis Toolbox Jul 2021
Data-Driven Modeling and Analysis of Residential Building Energy Consumption and Demand Flexibility Sep 2023
Characterizing energy flexibility of buildings with electric vehicles and shiftable appliances on single building level and aggregated level Demand response, EV, EVs, electric vehicles, load monitoring, flexibility, xg-boost method Sep 2022
Blockchain-based decentralized energy intra-trading with battery storage flexibility in a community microgrid system Blockchain, smart contract, microgrid, peer-to-peer, energy intra-trading, P2P, battery energy storage system, BESS Sep 2022
An Online Approach to Covert Attack Detection and Identification in Power Systems Cybersecurity, SCADA, ISO, state estimation, detection, power system dynamics, data integrity, power systems Apr 2022
An Iterative Optimization and Learning-based IoT System for Energy Management of Connected Buildings
An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets Generalized Nash equilibrium; Stackelberg game; Bilevel optimization; Risk-hedging; Electricity market May 2022
An Air Conditioning Control Method Based On Non-measurement Thermal Comfort Standard Correction for Demand Response Air conditioning, energy consumption, data privacy, fluctuations, proportional control, demand response, thermal loading May 2022
A Survey on Deep Learning for Building Load Forecasting Jun 2022
A Generative Model for Evasion Attacks in Smart Grid Meters, degradation, smart meters, data models, adversarial machine learning, machine learning, ML Jun 2022
A distributed energy management scheme with the extended optimization horizon for Energy Internet Energy Internet, distributed energy management, ADMM, optimization horizon Sep 2022
Energy Economics Sep 2023
An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data Sep 2022
Appliance-Level Energy Awareness Model for Flexible Load Management in Residential Buildings Aug 2022
Zero lost profit principle for solar compensation and its impact on bill savings net metering, electric rate design, prosumers, photovoltaic, PV, solar value Nov 2022
Which internal validation indices to use while clustering electric load demand profiles? clustering, validation indices, electric load demand Dec 2022
Smart Grids: Understanding Temporal Patterns of Device Energy Consumption in the Context of Weather convolutional neural network, neural network Sep 2023
Self-supervised learning method for consumer-level behind-the-meter PV estimation behind-the-meter, distributed photovoltaic, net load disaggregation, self-supervised learning, smart meter Nov 2022
Rolling-horizon optimization integrated with recurrent neural network-driven forecasting for residential battery energy storage operations residential battery energy storage, distributed energy resources, rolling-horizon optimization, recurrent neural network, neural network, long short-term memory Feb 2023
Residential Electricity Load Scenario Prediction Based on Transferable Flow Generation Model Jul 2022
Privacy-Preserving Data Falsification Detection in Smart Grids using Elliptic Curve Cryptography and Homomorphic Encryption data privacy, power demand, elliptic curve cryptography, power industry, smart meters, smart grids, servers Jul 2022
Pricing Electricity in Residential Communities Using Game-Theoretical Billings distributed algorithms, energy efficiency, energy communities, fairness, game theory, renewable energy, smart grid, energy storage Sep 2022
Physics-Informed Neural Network Model for Flexibility Modeling of Electric Water Heaters temperature distribution, recurrent neural network, neural network, power demand, water heating, computer architecture, predictive models, data models Sep 2022
Pareto optimization Strategy for Clustering of PV Prosumers in a Renewable Energy Community economics, photovaltaic systems, PV, renewable energy, metaheuristics, clustering algorithms, production Aug 2022
Optimal Storage and Solar Capacity of a Residential Household under Net Metering and Time-of-Use Pricing Optimal investment, time-of-use pricing, net metering, electricity storage, solar PV generation, distributed generation. Sep 2022
Optimal home energy management strategy: A reinforcement learning method with actor-critic using Kronecker-factored trust region appliance scheduling, demand response, deep reinfocement learning, home energy management, Markov decision process Nov 2022
On-policy learning-based deep reinforcement learning assessment for building control efficiency and stability Aug 2022
Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation Sep 2022
Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees Aug 2022
Integration of Centralized and Distributed Methods to Mitigate Voltage Unbalance using Solar Inverters voltage control, reactive power, inverters, voltage measurement, power measurement, load modeling, loss measurement Oct 2022
Growing PV generation and EV loads in a world of declining net metering: impacts on household-level economic, emission, and energy benefits Sep 2022
Grid-tied energy cooperative trading framework between Prosumer to Prosumer based on Ethereum smart contracts distributed energy resources, DERs, DER, cooperative energy, business ecostystem, ethereum blockchain, smart contract Dec 2022
Feeder Microgrid Management on an Active Distribution System during a Severe Outage Aug 2022
Farsighted stability of distributed energy resource sharing distributed energy resources, storage sharing, farsighted stability, multi-tier time-of-use pricing, cooperative game Nov 2022
Evidence of Completion of Milestone 3: Experimental Testbed Jun 2021
Enhanced Voltage Control in Distribution Networks: A Data-driven Approach voltage control, VAR control, distribution network, distributed generation, data-driven control Sep 2023
Energy-efficient personalized thermal comfort control in office buildings based on multi-agent deep reinforcement learning office buildings, HVAC, HVAC systems, personal comfort systems, personalized thermal comfort control, energy-efficient, multi-agent deep reinforcement learning Sep 2022
Detection of Electric Vehicles and Photovoltaic Systems in Smart Meter Data classification; machine learning; smart meter data; data fusion; electric vehicle; photovoltaic system Sep 2023
Decentralized Optimal Power Flow for time-varying network topologies using machine learning distributed energy resources, optimal power flow, machine learning, learning for control, time-varying network topologies Nov 2022
Community Pool Model for Active-Hour Appliance Management: A Multi-Round ADMM Approach home appliances, peer-to-peer computing, active appearance model, schedules, scalability, privacy, mathematical models Sep 2022
Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids Jul 2022
Batch reinforcement learning for network-safe demand response in unknown electric grids batch reinforcement learning, demand response, frequency regulation, network-safe, thermostatically controlled loads Nov 2022
Artificial Load Profiles and PV Generation in Renewable Energy Communities Using Generative Adversarial Networks training, photovoltaic systems, PV, visualization, renewable energy sources, statistical analysis, clustering algorithms, generative adversarial networks Aug 2022
Privacy Leakage in GAN Enabled Load Profile Synthesis privacy, data synthesis, GAN, differential privacy, privacy, load profiling Oct 2022
A novel adaptive penalty mechanism for Peer-to-Peer energy trading peer-to-Peer energy trading, penalty mechanism, energy management system, uncertainty Dec 2022
A Comprehensive Demand Response Strategy Considering Household Comfort and Economy Electric potential, smart cities, psychology, electric variables measurement, load shedding, demand response Dec 2022
Very low-resolution residential load disaggregation with unsupervised graph signal processing Feb 2023
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning smart grid, deep reinforcement learning, demand response, electric vehicle, solar power Oct 2022
Separating Feeder Demand Into Components Using Substation, Feeder, and Smart Meter Measurements distribution system, energy disaggregation, power flow, smart meters Jan 2020
Reliability assessment and improvement of distribution system with virtual energy storage under exogenous and endogenous uncertainty Dec 2022
Real-Time Energy Disaggregation of a Distribution Feeder’s Demand Using Online Learning online learning, machine learning, energy disaggregation, output feedback, real-time filtering May 2018
Power Load Curve Clustering based on ISODATA iterative, self-organizing, unsupervised learning, dynamic algorithms, clustering, electricity load curve Nov 2022
Optimal Storage and Solar Capacity of a Residential Household under Net Metering and Time-of-Use Pricing optimal investment, time-of-use pricing, net metering, electricity storage, solar PV generation, PV, distributed generation Dec 2022
Optimal Model for Prosumer Remuneration Schemes Considering Electric Vehicle Chargers Coordination prosumer, aggregator, electric vehicle charger, remuneration Nov 2022
Multistep Multiappliance Load Prediction machine learning Dec 2022
Multigranularity Building Energy Consumption Prediction Method Based on Convolutional Recurrent Neural Network Dec 2022
Maximum demand flexibility from the demand response of a big group of residential homes May 2023
Incremental incentive mechanism design for diversified consumers in demand response incentive-based demand response, incremental incentive mechanism, consumer surplus, deep reinforcement learning Jan 2023
Incorporating Delayed Temperature Dynamics into Residential Air Conditioner Models for Grid Frequency Regulation Temperature measurement, temperature distribution, temperature dependence, atmospheric modeling, aggregates, power system dynamics, data models Dec 2022
Handling Computation Hardness and Time Complexity Issue of Battery Energy Storage Scheduling in Microgrids by Deep Reinforcement Learning Dec 2022
Federated learning for interpretable short-term residential load forecasting in edge computing network short-term residential load forecasting, interpretable deep learning, federated learning, load forecasting Dec 2022
Estimating residential hot water consumption from smart electricity meter data residential electricity consumption, water heating, smart meters, domestic hot water Oct 2022
Disaggregating Load by Type from Distribution System Measurements in Real Time energy disaggregation, prediction error statistics, model-based update Jun 2018
Deep Reinforcement Learning-based Two-timescale Volt-VAR Control with Degradation-aware Smart Inverters in Power Distribution Systems Volt-VAR control, smart inverters, high solar PV penetration, reinforcement learning Dec 2022
Data-Driven Chance-Constrained Planning for Distributed Generation: A Partial Sampling Approach planning, distributed energy resources, renewable distributed generation, energy storage, stochastic programming Dec 2022
Customer-Centered Pricing Strategy Based on Privacy-Preserving Load Disaggregation demand response potential, pricing strategy, thermostatically controlled loads, non-intrusive load monitoring, privacy protection Jan 2023
A Multi-Objective Optimization for Clustering Buildings into Smart Microgrid Communities Community microgrid, cluster design, multi-objective optimization, net energy Nov 2022
A synthetic Data Generator for Smart Grids based on the Variational-Autoencoder Technique and Linked Data Paradigm Synthetic Data Generator, linked data, deep learning, variational autoencoders, smart grid Nov 2022
Control of Aggregate Air-Conditioning Load using Packetized Energy Concepts performance evaluation, analytical models, sensitivity analysis, aggregates, sociology, steady-state, statistics
Co-optimizing Consumption and EV Charging under Net Energy Metering Nov 2022
Aggregate Modeling and Non-Disruptive Control of Residential Air Conditioning Systems with Two-Zone Cooling Capacity thermostatic loads, multi-zone air conditioners, demand response, frequency regulation, aggregate load models Sep 2022
Benchmarking of Aggregate Residential Load Models Used for Demand Response aggregate load model, demand response, electric power systems, frequency regulation, residential demand Dec 2018
Behind-the-Meter Disaggregation of Residential Electric Vehicle Charging Load
Application of Internet of Energy in Smart Grids Using Deep Reinforcement Learning Dec 2022
An Energy Cost Optimization Model for Electricity Trading in Community Microgrids Peer-to-peer energy market, community microgrid, mixed integer linear programming, energy trading model, grid-interactive efficient building Oct 2022
Addressing social vulnerability in community microgrids: an equity-centered peer-to-peer electricity trading model cross-computing tools and techniques, empirical studies, data analytics Dec 2022
A systematic review of building electricity use profile models Building electricity use profile, Building energy models, Building design, Energy conservation, Building energy performance Feb 2023
A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration Jan 2023
A Modified Sequence-to-point HVAC Load Disaggregation Algorithm Dec 2022
A high dimensional functional time series approach to evolution outlier detection for grouped smart meters evolution outlier, functional data, functional depth, smart meters, unspervised outlier detection
Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption? NILM; MLA; energy efficiency management; energy disaggregation Feb 2023
Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks Mar 2023
At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives Internet of things; edge computing; artificial intelligence; machine learning; deep learning; swarm intelligence; big data analytics; bioinspired metaheuristic algorithms; resource management; edge analytics Feb 2023
A Non-Intrusive Load Monitoring Model for Electric Vehicles Based on Multi-Kernel Conventional Neural Network non-intrusive load monitoring; deep learning; convolutional neural network; electric vehicles; load disaggregation Feb 2023
To Switch or Not to Switch? Rate Plan Selection in the Electricity Retail Market Particle measurements; electricity supply industry; time measurement; real-time systems; demand response Feb 2023
The participation of electric vehicles in a peer-to-peer energy-backed token market Jun 2023
The impact of load-PV profile resolution on distribution system risk assessment Risk assessment; load-PV super-resolution method; generative adversarial networks Jan 2023
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns Sep 2023
Regulated peer-to-peer energy markets for harnessing decentralized demand flexibility P2P; renewable energy; building systems; microgrid Apr 2033
Net Load Forecast based on Behind-the-Meter Disaggregation of Smart Meter Data
Machine Learning and Quantum Computing for Optimization Problems in Power Systems Optimal power flow, constrained learning, deep learning, smart inverters, chance constraints, quantum computing, variational quantum eigensolver Dec 2022
Learning Reactive Power Control Polices in Distribution Networks Using Conditional Value-at-Risk and Artificial Neural Networks Chance constraint, decentralized control, dis‐ tributed energy resource (DER), data-driven control, neural net‐ work, voltage regulation. Jan 2023
Hierarchical Deep Learning Model for Degradation Prediction per Look-Ahead Scheduled Battery Usage Profile Mar 2023
Federated learning framework and energy disaggregation techniques for residential energy management Sep 2023
Deep Learning for Power System Synthetics Data Generation and Anomaly Detection. Sep 2023
Energy Prediction using Federated Learning Jan 2023
Data-driven comparison of federated learning and model personalization for electric load forecasting Federated learning; machine learning; model personalization; temporal convolutional network; electric load forecast; differential comparison Oct 2023
Are Consumers with Low Serving Costs Necessarily Carbon Friendly? carbon; Low carbon; carbon accounting; demand response Feb 2023
An energy demand-side management and net metering decision framework Smart meter data; load patterns; clustering; multi-criteria decision making May 2023
An embedded and intelligent anomaly power consumption detection system based on smart metering Advanced Metering Infrastructure (AMI), clustering algorithms, data aggregator, firewall, machine learning, metering sensors, MQTT protocol, unsupervised algorithms Feb 2023
An L0-Norm Constrained Unsupervised Non-Negative Matrix Factorization Algorithm for Privacy Preserving Energy Usage Decomposition binary matrix; fixed load; non-negative matrix factorization; privacy preserving; Frobenius norm; shiftable load; sparsity constraint; unsupervised learning Jan 2023
Aggregator-induced demand response and bidding strategy for electricity market environment based on Ethereum smart contracts Jan 2023
A Stackelberg Game Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets Game theory; Generalized Nash Equilibrium; Stackelberg Game; Risk-Hedging; Electricity Market Jan 2023
A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid Resilience; uncertainty; renewable energy sources; indexes; voltage; optimization; stochastic processes Mar 2023
A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid Dimensionality reduction; modems; market research; smart grid; smart grids; research initiatives; critical infrastructure; anomoly detection Mar 2023
A mixed-integer approximation of robust optimization problems with mixed-integer adjustments Feb 2023
Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems May 2023
An Efficient Distribution Transformer Fleet Modernization Strategy for a Rapid Transition toward the Active Electric Networks Substations, urban areas, distribution networks, transformers, energy efficiency, ecodesign, voltage control Sep 2023
Building cluster demand flexibility: An innovative characterization framework and applications at the planning and operational levels Renewable energy integration, distributed energy resources, DERs, grid-interactive efficient buildings, demand flexibility, optimal control May 2023
Chance-Constrained Generic Energy Storage Operations under Decision-Dependent Uncertainty Jan 2022
Demand Estimation of Net Metered Loads for Microgrid Restoration Demand Forecasting, microgrids, power system restoration, time series analysis Mar 2023
Descriptive statistical approach for the assessment of the output of a virtual power plant in a secondary distribution network Apr 2020
Electricity theft detection based on contrastive learning and non-intrusive load monitoring Electricity theft detection, non-technical losses, non-intrusive load. monitoring, contrastive learning Mar 2023
Enhanced NILM load pattern extraction via variable-length motif discovery Oct 2023
FedForecast: A federated learning framework for short-term probabilistic individual load forecasting in smart grid Oct 2023
Load oscillation pattern detection for NILM based on scale space decomposition Non-intrusive load monitoring, load oscillation pattern, scale space decomposition, minimum description length principle May 2023
Methodology to characterize urban areas with similar daily electricity load curves using smart meters and census information (Montevideo-Uruguay) Apr 2023
Multi-Period Optimization of Hybrid Energy Systems Using Mixed Integer Linear Programming Energy storage systems, hybrid energy system, mixed integer linear programming, multi-period optimization, solar photovoltaics, PV Mar 2023
Non-intrusive Status Prediction of Residential Appliances using Supervised Learning Techniques NILM, load disaggregation, energy conservation, supervised learning Apr 2023
On the Optimality of Procrastination Policy for EV charging under Net Energy Metering Apr 2023
Optimizing Resource Swap Functionality in IoE-based Grids Using Approximate Reasoning Reward-based Adjustable Deep Double Q-Learning Routing, costs, microgrids, Q-learning, power system stability, cognition, scheduling algorithms May 2023
Privacy-aware optimal load scheduling for energy management system of smart home Jun 2023
Privacy-Preserving federated learning: An application for big data load forecast in buildings Aug 2023
Private vs. public value of U.S. residential battery storage operated for solar self-consumption Aug 2022
2022-12 Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment: Consumer Conventional Cooking Products, December 2022 Dec 2022
2021-11-04 Energy Conservation Program: Test Procedures for Cooking Products; Notice of proposed rulemaking (‘‘NOPR’’) and announcement of public meeting Nov 2021
Tunable Experimental Testbed for Evaluating Load Coordination Methods May 2023
Using Field-Metered Data to Characterize Consumer Usage Patterns of Residential Dishwashers Apr 2023
Valuing the Electricity Produced Locally in Renewable Energy Communities through Noncooperative Resources Scheduling Games May 2023
Virtual Power Grid Reinforcement via Coordinated Volt/VAr Control May 2023
Appliance Identification in NILM Applications by means of a Convolutional Auto-Encoder Non-Intrusive Load Monitoring, NILM, Convolutional auto-encode, CAE, appliance identification, active and assisted living, AAL Jul 2023
Behind-the-Meter Load and PV Disaggregation via Deep Spatiotemporal Graph Generative Sparse Coding With Capsule Network Load modeling, spatiotemporal phenomena, feature extraction, hidden Markov models, correlation, estimation, encoding Jun 2023
Consumption and production of cleaner energy by prosumers Aug 2023
Deep4Ener: Energy Demand forecasting for Unseen Consumers with Scarce Data Using a Single Deep Learning Model computing methodologies, machine learning, hardware, power and energy, energy distribution, smart grid Mar 2023
1EV-ecosim: A grid-aware co-simulation platform forthe design and optimization of electric vehiclecharging stations battery storage, control, fast charging, mod-elling, optimization, simulation Jun 2023
Evaluating the household-level climate-electricity nexus across three cities through statistical learning techniques Household electricity use, statistical learning theory, smart meter data, multi-city analysis, climate impacts Jun 2023
Graph representation learning-based residential electricity behavior identifcation and energy management Sep 2023
TECHNICAL IMPACTS OF THE DEPLOYMENT OF RENEWABLE ENERGY COMMUNITIES ON ELECTRICITY DISTRIBUTION GRIDS Jun 2023
Optimal Energy Dispatch Engine for PV-DG-ESS Hybrid Power Plants Considering Battery Degradation and Carbon Emissions Hybrid power plants, energy management system (EMS), energy dispatch engine (EDE), mixed integer linear programming (MILP), optimization, forecasting. Jun 2023
Real-time energy scheduling for home energy management systems with an energy storage system and electric vehicle based on a supervised-learning-based strategy Home energy management system, supervised learning, deep neural network, energy storage system, electric vehicle, deep reinforcement learning Sep 2023
Towards efficient human–machine interaction for home energy management with seasonal scheduling using deep fuzzy neural optimizer domestic users, energy management, fuzzy deep neural optimizer, human-machine interaction, seasonal schedules, smart grid, time of use price, Takagi Sugeno fuzzy inference system Jun 2023
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