Researchers from around the world have used Pecan Street data to publish hundreds of peer-reviewed papers on topics ranging from electric vehicle charging and energy storage to solar energy and electricity pricing.
Following is a partial listing of known research papers.
Academic Papers Using Pecan Street Data
Title
Topic/Tags
Date Published
Title
Link
Topic/Tags
Date Published
A unit commitment study of the application of energy storage toward the integration of renewable generation
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
Contextually Supervised Source Separation with Application to Energy Disaggregation
energy, disaggregation
Dec 2012
Shared Solar-powered EV Charging Stations: Feasibility and Benefits
PV, EV, batteries
Dec 2013
Experimental and Data Collection Methods for a Large-Scale Smart Grid Deployment
energy, smart grid, water, natural gas
Feb 2014
SGsim: Co-simulation Framework for ICT-Enabled Power Distribution Grids
communication system, conservation voltage reduction, electricity distribution network, smart grid
May 2014
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
An empirically-validated methodology to simulate electricity demand for electric vehicle charging
energy, EV
Aug 2014
Variable Speed Drives for Power Factor Correction in the Water Sector
PV, power factor, power system stability, variable speed drives, energy
Aug 2014
Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate
computer science
Oct 2014
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
Community-scale residential air conditioning control for effective grid management
peak demand, storage, air conditioning,energy
Oct 2014
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
Clustering analysis of residential electricity demand profiles
smart meter, energy
Dec 2014
Using BEopt (EnergyPlus) with energy audits and surveys to predict actual residential energy usage
energy audit, energy
Jan 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
Electric Vehicle Charging in the 21st Century
EV
May 2015
Disruptive Technologies in the Cable TV and Electric Utility Industries
Jun 2015
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
Clustering Approach for Short Term Electricity Forecasting
neural network, hierarchical clustering, smart meter, time series clustering
Jun 2015
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
An advanced data driven model for residential electric vehicle charging demand
data mining, EV, load modeling, queuing analysis
Jul 2015
Analysis of high-resolution electric vehicle charging on time-of-use grid demands
reactive power, loading, EV, batteries, power quality, power demand
Jul 2015
Exploiting Temporal Difference for Energy Disaggregation via Discriminative Sparse Coding
disagreggation
Sep 2015
Inferring the behavior of distributed energy resources with online learning
real-time systems, algorithms, home appliances, power measurement, load modeling
Oct 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
Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic
computing methodologies, modeling and simulation, model development and analysis, modeling methodologies
Nov 2015
A collaborative framework for annotating energy datasets
appliances states, data mining, disaggregation, ground truth acquisition
Nov 2015
Dataport and NILMTK: A building data set designed for non-intrusive load monitoring
smartgrid, power demand, power system measurements, signal processing algorithms
Dec 2015
Short-term residential electric load forecasting: A compressive spatio-temporal approach
data decomposition, load forecasting, residential, spatial correlation
Jan 2016
Data-driven modeling of solar-powered urban microgrids
complex networks, distributed generation, microgrid, power systems, resilience, PV
Jan 2016
Thermostat metrics derived from HVAC cycling data for targeted utility efficiency programs
energy efficiency, thermostat, energy, cost-effectiveness, air conditioning
Apr 2016
Greedy Deep Disaggregating Sparse Coding
deep learning, dictionary learning, energy disaggregation
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
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
Distribution transformers short-term load forecasting models
distribution transformer load forecasting, linear regression models, short-term load forecasting
Jul 2016
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
Real-time demand response potential evaluation: A smart meter driven method
smart meters, load management, demand response, real time
Jul 2016
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
User Behavior Modeling for Estimating Residential Energy Consumption
behavior modeling, mathematical modeling, voltage spike, energy modeling, software, mathematics, simulation
Oct 2016
Estimating the benefits of cooperation in a residential microgrid: A data-driven approach
demand response, microgrid, peak shaving
Oct 2016
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
Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics
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
Decision Support for Group-based Electricity Prices in Smart Grids
Nov 2016
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
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
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
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
Microgrid/Macrogrid Energy Exchange: A Novel Market Structure and Stochastic Scheduling
microgrid, energy, energy exchange, optimization, economics
Jan 2017
Scalable-Application Design for the IoT
internet of things, scalability, context awareness, software engineering, smart grids
Jan 2017
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
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
Context-aware and user-centric residential energy management
context, engines, sensors, energy management, smart grids, scalability, cognition
Mar 2017
Comparison of two residential Smart Grid pilots in the Netherlands and in the USA, focusing on energy performance and user experiences
energy metering; energy distribution; power and energy; hardware; artificial intelligence; computing methodologies; consumer products; operations research
Oct 2018
Data-Driven Load Modeling and Forecasting of Residential Appliances
statistics, applications
Oct 2018
A House Appliances-Level Co-simulation Framework for Smart Grid Applications
demand response
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
Modeling Electric Vehicle Consumption Profiles for Short-Term Forecasting and Long-Term Simulation
Disaggregating solar generation behind individual meters in real time
applied computing, physical sciences and engineering, mathematics and statistics
Nov 2018
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
Clustering Residential Electricity Load Curves via Community Detection in Network
computer science, data structures & algorithms, social & information networks
Nov 2018
K-means Based Clustering Analysis of Household Energy Consumption
Dec 2018
Benchmarking of Aggregate Residential Load Models Used for Demand Response
aggregate load model, demand response, electric power systems, frequency regulation, residential demand
Dec 2018
An Exchange Mechanism to Coordinate Flexibility in Residential Energy Cooperatives
computer science, multiagent systems
Dec 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
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
Electricity Market Reform
electricity market, energy business model, energy internet, energy trading, prosumers, community, transactive energy
Jan 2019
A Supervised Machine Learning Approach to Control Energy Storage Devices
Jan 2019
Estimating Buildings' Parameters over Time Including Prior Knowledge
Jan 2019
Hierarchical and Distributed Machine Learning Inference Beyond the Edge
machine learning, internet of things, edge computing, energy efficient computing
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
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
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 scheduling optimization model of electric water heaters for electricity cost minimization with limited information
Data Analytics-Based Demand Profiling and Advanced Demand Side Management for Flexible Operation of Sustainable Power Networks - Advanced Demand Profiling
Jan 2020
Temporal Motifs in Smart Grid
smart grid; temporal motifs; complex systems; cyber-physical; system
Jan 2020
Separating Feeder Demand Into Components Using Substation, Feeder, and Smart Meter Measurements
distribution system, energy disaggregation, power flow, smart meters
Jan 2020
Short-term Meter Level Load Forecasting of Residential Customers Based on Smart Meter's Data
Short-Term Load Forecasting Using Modified Sequence-to-Sequence Deep Learning Framework
Mar 2020
The Mycorrho-grid: A Blockchain-based Mycorrhizal Model for Smart Solar Microgrids
Mar 2020
Benchmarks for Grid Flexibility Prediction: Enabling Progress and Machine Learning Applications
machine learning
Apr 2020
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
Descriptive statistical approach for the assessment of the output of a virtual power plant in a secondary distribution network
Apr 2020
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
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
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring
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
Deep-Learning Framework for Estimating Behind the Meter Solar Generation and Electric Vehicle Penetration Level and Time-of-Use
Jan 2021
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
CAMS-TEMPO: global and European emission temporal profile maps for atmospheric chemistry modelling
Feb 2021
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
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids
signal processing; machine learning
Feb 2021
Non-invasive load-shed authentication model for demand response applications assisted by event-based non-intrusive load monitoring
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
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
2021-11-04 Energy Conservation Program: Test Procedures for Cooking Products; Notice of proposed rulemaking (‘‘NOPR’’) and announcement of public meeting
Nov 2021
Effective factors for residential building energy modeling using feature engineering
Dec 2021
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
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring
Dec 2021
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
A Differential Privacy-enhanced Federated Learning Method for Short-Term Household Load Forecasting in Smart Grid
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
Cost-reflective dynamic electricity pricing for prosumers
Electric rate design, photovoltaic, marginal cost, average cost, electricity bill savings
Jan 2022
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
Modeling, simulation, and experimental verification of a smart grid system
Chance-Constrained Generic Energy Storage Operations under Decision-Dependent Uncertainty
Jan 2022
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
MILP-based optimal day-ahead scheduling for system-centric CEMS supporting different types of homes and energy trading
Feb 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
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
Power Consumption prediction using Random Forest model
Energy, power consumption, machine learning, prediction, Artificial intelligence
Apr 2022
Learning Task-Aware Energy Disaggregation: a Federated Approach
Apr 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
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
LEARNING-BASED SITUATIONAL AWARENESS, DECISION MAKING, AND FLEXIBILITY AGGREGATION FOR POWER DISTRIBUTION SYSTEMS WITH UNCERTAINTY
May 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
Peak Load Estimation with the Generalized Extreme Value Distribution
May 2022
Fairness of Sharing Renewable Energy Between Prosumers
collective self-consumption, energy community, energy sharing, fairness, renewable energy
May 2022
An Equilibrium Analysis of Risk-Hedging Strategies in Decentralized Electricity Markets
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
Application of Internet of Energy in Smart Grids Using Deep Reinforcement Learning
Dec 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 Modified Sequence-to-point HVAC Load Disaggregation Algorithm
Dec 2022
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
2022-12 Technical Support Document: Energy Efficiency Program for Consumer Products and Commercial and Industrial Equipment: Consumer Conventional Cooking Products, December 2022
Dec 2022
Incremental incentive mechanism design for diversified consumers in demand response
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
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
Very low-resolution residential load disaggregation with unsupervised graph signal processing
Feb 2023
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
Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?
NILM; MLA; energy efficiency management; energy disaggregation
Feb 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
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
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
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
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
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
Privacy-Preserving federated learning: An application for big data load forecast in buildings
Aug 2023
Consumption and production of cleaner energy by prosumers
Aug 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
Renewable Energy in Data Centers: the Dilemma of Electrical Grid Dependency and Autonomy Costs
Sustainable data centers, carbon-neutral computing, renewable resources, energy storage, optimal sizing
Aug 2023
Short-term prediction of behind-the-meter PV power based on attention-LSTM and transfer learning
Aug 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
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 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
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
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
Predicting Power Output of Solar Panels Using Machine Learning Algorithms
Machine learning, Solar panel, Output prediction, Renewable energy, Solar energy.
Sep 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
Enhanced NILM load pattern extraction via variable-length motif discovery
Oct 2023
FedForecast: A federated learning framework for short-term probabilistic individual load forecasting in smart grid
Oct 2023
A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
Oct 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
Electric Vehicle Identification in Low-Sampling Non-Intrusive Load Monitoring Systems Using Machine Learning
Training, load monitoring, electric potential, smart cities, training data, machine learning, feature extraction
Oct 2023
FLAP: Federated Learning with Attack and Privacy Awareness
Oct 2023
Optimal operation of microgrid with consideration of V2G's uncertainty
Oct 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
Residential energy consumption forecasting using deep learning models
Nov 2023
Smart home charging of electric vehicles using a digital platform
Electric vehicles, EVs, smart charging, digital platforms
Nov 2023
Analyzing Cross-Phase Effects of Reactive Power Intervention on Distribution Voltage Control
Nov 2023
Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN
Nov 2023
Enhancing Microgrid Resilience with Green Hydrogen Storage
Nov 2023
Field Experimental Evidence on the Effect of Pricing on Residential Electricity Conservation
Nov 2023
Improving Photovoltaic Hosting Capacity of Distribution Networks with Coordinated Inverter Control -- A Case Study of the EPRI J1 Feeder
Nov 2023
Distributed Feedforward Optimization for Control of Multi-Energy Network with Temporal Variations
Adaptive cold-load pickup considerations in 2-stage microgrid unit commitment for enhancing microgrid resilience
Feb 2024
Experiences from developing an open urban data portal for collaborative research and innovation
Feb 2024
Privacy-Preserving Load Scheduling in Residential Microgrids Using Multiagent Reinforcement Learning
Load scheduling, multiagent deep reinforcement learning, privacy-preserving, residential microgrid
Feb 2024
Asynchronous Distributed Energy Management with Co-Operative Agents
energy management, demand side management, asynchronous communication, distributed networks
Mar 2024
Demand Side Flexibility Envelope Quantification Under Data Scarcity
Demand response, DR, data scarcity, quantification, neural network, flexibility envelope
Mar 2024
Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data
Mar 2024
IMPROVING VOLTAGE QUALITY THROUGH TRANSFORMER CONSTRUCTION IN ACCRA, GHANA
Mar 2024
RES-EV: Identifying EV-Households under High AC Load Using a Residual-Based Model
battery electric vehicles, EVs, residential load profile, smart grid, smart meter, electric vehicles
Mar 2024
Robust Local Coordination Control of PV Smart Inverters With SVC and OLTC in Active Distribution Networks
Chance-constraint, deep neural networks, on-load tap changer, OLTC, smart inverter, static VAR compensator
Mar 2024
A Novel Vision Transformer based Load Profile Analysis using Load Images as Inputs
Apr 2024
Comparative Analysis of Machine Learning Techniques for Non-Intrusive Load Monitoring
Apr 2024
EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking
Electric vehicle optimization, gym environment, reinforcement learning, mathematical programming, model predictive control
Apr 2024
Model Predictive Control based Energy Management System for Home Energy Resiliency
Apr 2024
Ensemble LOF-based detection of false data injection in smart grid demand response system
May 2024
High-Speed Voltage Control in Active Distribution Systems with Smart Inverter Coordination and Deep Reinforcement Learning
May 2024
Smart grid public datasets: Characteristics and associated applications
May 2024
Unlocking the potential of smart EV charging: A user-oriented control system based on Deep Reinforcement Learning
Electric vehicle charging, demand response, DR, residential flexibility, self-consumption, end-user preferences, deep reinforcement learning
May 2024
Data-Driven Residential Electric Vehicle Charging Behavior and Load Profile Modeling for Demand Response in the Midcontinent Independent System Operator Region
Jun 2024
Decentralized Community Energy Management: Enhancing Demand Response Through Smart Contracts in a Blockchain Network
Blockchain technology, BT, microgrid energy management system, MEMS, peer-to-peer, P2P, energy trading, prosumers, demand response, DR, smart contract
Jun 2024
Generating Synthetic Net Load Data with Physics-informed Diffusion Model
Net load, synthetic data, diffusion model, physics-informed machine learning
Jun 2024
Coordinated Controls of Residential EV Chargers Considering High Power Appliances
Jul 2024
MAGE: Microgrids with Advanced Grid Efficiency through Battery-Aware EV management
Jul 2024
Situational awareness-enhancing community-level load mapping with opportunistic machine learning
Jul 2024
Data analysis and estimation of the conversion efficiency of bidirectional EV chargers using home energy management systems data
Aug 2024
Energy Management for Prepaid Customers: A Linear Optimization Approach
Aug 2024
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
Individualized Forecasting of Gas Consumption Guided by Smart Meter Data Through Transform Integrated Neural Network
AIoT, extended period prediction, gas consumption, machine learning, parallel processing, privacy attack, subgroup, transformation
Aug 2024
Online Electric Vehicle Charging Detection Based on Memorybased Transformer using Smart Meter Data
Electric vehicle identification, online anomaly detection, transformer, smart meter data.
Aug 2024
Toward intelligent demand-side energy management via substation-level flexible load disaggregation
Aug 2024
Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning
EV charging, energy community, smart grid, smart charging, multi-agent RL
Sep 2024
A Generative AI Technique for Synthesizing a Digital Twin for U.S. Residential Solar Adoption and Generation
Oct 2024
Estimating air conditioning energy consumption of residential buildings using hourly smart meter data
Nov 2024
XGBoost based enhanced predictive model for handling missing input parameters: A case study on gas turbine
Gas turbine, XGBoost, prediction, energy yield, missing data, analysis
Dec 2024
A novel energy management of public charging stations using attention-based deep learning model
Data analysis, deep learning, EV, electric vehicle charging, electric vehicles, energy management, load prediction, public charging infrastructure
Jan 2025
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
Jan 2022
Security against data falsification attacks in smart city applications
Oct 2021
Synthesis of Realistic Load Data: Adversarial Networks for Learning and Generating Residential Load Patterns
Nov 2022
Climate control : smart thermostats, demand response, and energy efficiency in Austin, Texas
urban studies & planning
Jan 2025
Clustering analysis of residential loads
clustering, residential, load
Jan 2025
Data-Driven Methodology for Energy and Peak Load Reduction of Residential HVAC Systems
data analytics hvac systems, residential buildings, smart grid
Jan 2025
Non-intrusive Load Monitoring Using Imaging Time Series and Convolutional Neural Networks
deep learning, neural network, mean squared error, algorithms
Jan 2025
Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings
direct current, residential, energy efficiency, economics
Jan 2025
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
Jan 2025
An Advanced Data Driven Model for Residential Plugin Hybrid Electric Vehicle Charging Demand
Appliance-level Residential Consumer Segmentation from Smart Meter Data
Jan 2025
Quantifying demand response under uncertainty in power systems
Jan 2025
Deep Latent Generative Models for Energy Disaggregation
Jan 2025
Distribution Network State Estimation, Time Dependency and Fault Detection
distribution networks, photovoltaic energy, customer loads aggregation
Jan 2025
Experiential Preference Elicitation for Autonomous Heating and Cooling Systems
Jan 2025
Load Profile Based Electricity Consumer Clustering Using Affinity Propagation
Jan 2025
Multi Label Restricted Boltzmann Machine for Non-Intrusive Load Monitoring
Jan 2025
Scalable Data-driven Modeling and Analytics for Smart Buildings
Jan 2025
Economic Dispatch of Consumer Loads Using Machine Learning in Smart Grid Environment
Jan 2025
Load Learning and Topology Optimization for Power Networks
Jan 2025
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
Jan 2025
Residential Aggregator Risk Constrained Profit Maximization Under Demand Response Program
Jan 2025
A VSM-Based DER Dispatch MINLP for Volt-VAR Control in Unbalanced Power Distribution Systems
Sep 2019
Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models
Jan 2025
Thinking critically about smart city experimentation
urban living lab; smart grid; governmentality; experimentation; entrepreneurialism
Jan 2025
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
Jan 2025
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
Jan 2025
Towards a Unified Standards for Smart Infrastructure Datasets
Jan 2025
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
Jan 2025
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints
optimization; control; optimization and control
Jul 2020
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
optimization; control; optimization and control; machine learning
Jun 2020
Efficient Power Sharing at the Edge by Building a Tangible Micro-Grid – the Texas Case
Jun 2020
Electrical Load Forecasting Using Edge Computing and Federated Learning
federated learning; energy load forecasting; edge computing; deep neural networks; LSTM; smart grid.
Jan 2025
An Efficient Electric Energy Consumption Prediction System Using Machine Learning Framework
sustainability; preprocessing; electricity consumption prediction; machine learning; random forest classifier; decision trees
Sep 2020
Solar Disaggregation: State of the Art and Open Challenges
distributed solar generation; disaggregation; source separation
Jan 2025
SolarTrader: Enabling Distributed Solar Energy Trading in Residential Virtual Power Plants
solar energy trading; ML; deep learning; reinforcement learning
Jan 2025
Smart Decision-Making via Edge Intelligence for Smart Cities
Jan 2025
Data-Driven Integration of Renewable Energy in Smart Grid
Jan 2025
Data-Driven Modeling and Analysis of Residential Building Energy Consumption and Demand Flexibility
Jan 2025
Smart Grids: Understanding Temporal Patterns of Device Energy Consumption in the Context of Weather
convolutional neural network, neural network
Jan 2025
Enhanced Voltage Control in Distribution Networks: A Data-driven Approach
voltage control, VAR control, distribution network, distributed generation, data-driven control
Jan 2025
Detection of Electric Vehicles and Photovoltaic Systems in Smart Meter Data
classification; machine learning; smart meter data; data fusion; electric vehicle; photovoltaic system
Jan 2025
Energy Economics
Jan 2025
Federated learning framework and energy disaggregation techniques for residential energy management
Jan 2025
Deep Learning for Power System Synthetics Data Generation and Anomaly Detection.
Jan 2025
An Efficient Distribution Transformer Fleet Modernization Strategy for a Rapid Transition toward the Active Electric Networks
Substations, urban areas, distribution networks, transformers, energy efficiency, ecodesign, voltage control
Jan 2025
Graph representation learning-based residential electricity behavior identifcation and energy management
Jan 2025
Effective Voting-based Ensemble Learning for Segregated Load Forecasting with Low Sampling Data