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
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
Oct 2024
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
Oct 2024
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
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
Oct 2024
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
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
Oct 2024
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
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
Oct 2024
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
Oct 2024
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
Oct 2024
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
Oct 2024
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
Oct 2024
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
Oct 2024
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
Oct 2024
Non-intrusive load disaggregation based on deep dilated residual network
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
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
Oct 2024
Automated Detection of Electric Vehicles in Hourly Smart Meter Data
Jun 2019
Cross-subsidies Among Residential Prosumers from Tariff Design and Metering Infrastructure
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
Oct 2024
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
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
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
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
Oct 2024
Identifying Errors in Service Transformer Connections
Aug 2020
Impacts of PV Capacity Allocation Methods on Distribution Planning Studies
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
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
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
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
Oct 2024
Characterizing energy flexibility of buildings with electric vehicles and shiftable appliances on single building level and aggregated level
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
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
Graph representation learning-based residential electricity behavior identifcation and energy management
Oct 2024
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
Robust learning-based real-time load estimation using sparsely deployed smart meters with high reporting rates
anomaly detection, clustering distribution system, load estimation, load forecasting, meter placement, smart meter
Sep 2023
A novel non-intrusive load monitoring method based on ResNet-seq2seq networks for energy disaggregation of distributed energy resources integrated with residential houses
Nov 2023
A self-sustained EV charging framework with N-step deep reinforcement learning
Smart grid, smart charging, demand response, electric vehicle, solar power, self-consumption
Sep 2023
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
Oct 2023
Adopting Dynamic VAR Compensators to Mitigate PV Impacts on Unbalanced Distribution Systems
Sep 2023
Computational Enhancement for Day-Ahead Energy Scheduling with Sparse Neural Network-based Battery Degradation Model
Sep 2023
Demand Response Supply Estimation with Smart Meter Data
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
Jul 2023
Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management Using Multiple Knapsack Problem
Jul 2023
Learning a Reward Function for User-Preferred Appliance Scheduling
Oct 2023
Linearization of ReLU Activation Function for Neural Network-Embedded Optimization:Optimal Day-Ahead Energy Scheduling
Oct 2023
Load Reconstruction With Arbitrary Super Resolutions
Super-resolution, smart meter, smart grid
Sep 2023
Low-Carbon Community Energy Management Incorporating Data-Driven User Segmentation
Energy Management, community energy storage, low-carbon energy cooperation, user segmentation
Sep 2023
Modeling and Classification of EV Charging Profiles Utilizing Topological Data Analysis
Logistic regression, data analysis, time series analysis, power grids, electric vehicle charging, EV charging, data models, numerical models
Jul 2023
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management
Data Privacy, Personalized Federated Learning, Reinforcement Learning
Aug 2023
Principal-Agent Model for Bilateral Contract Design to Incentivize Residential Demand-side Flexibility