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	Mar 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	Mar 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	Mar 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	Mar 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	Mar 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	Mar 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	Mar 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			Mar 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			Mar 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	Mar 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			Mar 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			Mar 2023
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring			Mar 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			Mar 2023
Residential Electric Vehicle Charging Characterization via Behavior Identification, Vehicle Classification, and Load Forecasting
Scalable Data-driven Modeling and Analytics for Smart Buildings			Mar 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			Mar 2023
Load Learning and Topology Optimization for Power Networks			Mar 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	Mar 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			Mar 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			Mar 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			Mar 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	Mar 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	Mar 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	Mar 2023
Towards a Unified Standards for Smart Infrastructure Datasets			Mar 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	Mar 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	Mar 2023
SolarTrader: Enabling Distributed Solar Energy Trading in Residential Virtual Power Plants		solar energy trading; ML; deep learning; reinforcement learning	Mar 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			Mar 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			Mar 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			Mar 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			Mar 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	Mar 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	Mar 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	Mar 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			Mar 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			Mar 2023
Deep Learning for Power System Synthetics Data Generation and Anomaly Detection.			Mar 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

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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