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A Comprehensive Review of Residential Electricity Load Profile Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/er.1136openalex-snapshot
A model for generating household electricity load profiles
inferredcites →https://doi.org/10.1016/0360-5442(85)90025-8openalex-snapshot
Statistically adjusted engineering (SAE) models of end-use load curves
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An end-use electricity load simulation model
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A highly resolved modeling technique to simulate residential power demand
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High-resolution stochastic integrated thermal–electrical domestic demand model
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Electrical-end-use data from 23 houses sampled each minute for simulating micro-generation systems
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HUE: The hourly usage of energy dataset for buildings in British Columbia
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A method of formulating energy load profile for domestic buildings in the UK
inferredcites →https://doi.org/10.1016/j.enbuild.2009.02.013openalex-snapshot
Constructing load profiles for household electricity and hot water from time-use data—Modelling approach and validation
inferredcites →https://doi.org/10.1016/j.enbuild.2010.05.023openalex-snapshot
Domestic electricity use: A high-resolution energy demand model
inferredcites →https://doi.org/10.1016/j.enbuild.2012.02.050openalex-snapshot
Measured end-use electric load profiles for 12 Canadian houses at high temporal resolution
inferredcites →https://doi.org/10.1016/j.enbuild.2014.04.053openalex-snapshot
Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications
inferredcites →https://doi.org/10.1016/j.enbuild.2015.01.058openalex-snapshot
Model for electric load profiles with high time resolution for German households
inferredcites →https://doi.org/10.1016/j.enbuild.2016.05.060openalex-snapshot
Domestic electricity load modelling by multiple Gaussian functions
inferredcites →https://doi.org/10.1016/j.energy.2013.03.086openalex-snapshot
Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior
inferredcites →https://doi.org/10.1016/j.energy.2016.02.159openalex-snapshot
Household electricity demand profiles – A high-resolution load model to facilitate modelling of energy flexible buildings
inferredcites →https://doi.org/10.1016/j.enpol.2007.09.013openalex-snapshot
Second-home electricity consumption
inferredcites →https://doi.org/10.1016/j.enpol.2011.10.016openalex-snapshot
Demand side management—A simulation of household behavior under variable prices
inferredcites →https://doi.org/10.1016/j.enpol.2012.06.065openalex-snapshot
A local-community-level, physically-based model of end-use energy consumption by Australian housing stock
inferredcites →https://doi.org/10.1016/j.erss.2014.12.006openalex-snapshot
Fixing the American energy leak: The effectiveness of a whole-house switch for reducing standby power loss in U.S. residences
inferredcites →https://doi.org/10.1016/j.rser.2008.09.033openalex-snapshot
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
inferredcites →https://doi.org/10.1016/j.rser.2012.08.013openalex-snapshot
A review and an analysis of the residential electric load curve models
inferredcites →https://doi.org/10.1038/s41560-017-0074-zopenalex-snapshot
Impact of uncoordinated plug-in electric vehicle charging on residential power demand
inferredcites →https://doi.org/10.1038/s41597-019-0212-5openalex-snapshot
The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea
inferredcites →https://doi.org/10.1038/sdata.2015.7openalex-snapshot
The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes
inferredcites →https://doi.org/10.1038/sdata.2016.37openalex-snapshot
Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
inferredcites →https://doi.org/10.1080/19401490802706653openalex-snapshot
Synthetically derived profiles for representing occupant-driven electric loads in Canadian housing
inferredcites →https://doi.org/10.1109/59.317650openalex-snapshot
A bottom-up approach to residential load modeling
inferredcites →https://doi.org/10.1109/ems.2012.30openalex-snapshot
Residential Energy Load Profile Generation Using a Probabilistic Approach
inferredcites →https://doi.org/10.1109/isgteurope.2013.6695250openalex-snapshot
Load modelling and simulation of household electricity consumption for the evaluation of demand-side management strategies
inferredcites →https://doi.org/10.1109/pecon.2014.7062413openalex-snapshot
A high-resolution smart home power demand model and future impact on load profile in Germany
inferredcites →https://doi.org/10.1109/smartgridcomm.2014.7007698openalex-snapshot
GREEND: An energy consumption dataset of households in Italy and Austria
inferredcites →https://doi.org/10.1109/socpar.2014.7007996openalex-snapshot
ACS-F2 — A new database of appliance consumption signatures
inferredcites →https://doi.org/10.1109/tdc.2014.6863381openalex-snapshot
A MATLAB based occupant driven dynamic model for predicting residential power demand
inferredcites →https://doi.org/10.1109/tii.2013.2240309openalex-snapshot
Residential Electrical Load Model Based on Mixture Model Clustering and Markov Models
inferredcites →https://doi.org/10.1109/tpas.1985.319202openalex-snapshot
Residential Load Shape Modelling Based on Customer Behavior
inferredcites →https://doi.org/10.1109/tpwrd.2004.835051openalex-snapshot
Micro-Grid Autonomous Operation During and Subsequent to Islanding Process
inferredcites →https://doi.org/10.1109/tpwrd.2009.2035810openalex-snapshot
Microgrid Protection Using Communication-Assisted Digital Relays
inferredcites →https://doi.org/10.1109/tpwrs.2012.2208232openalex-snapshot
Development of physical-based demand response-enabled residential load models
inferredcites →https://doi.org/10.1109/tpwrs.2014.2301949openalex-snapshot
Development of Low-Voltage Load Models for the Residential Load Sector
inferredcites →https://doi.org/10.1109/tsg.2015.2479576openalex-snapshot
Frequency Control in Isolated/Islanded Microgrids Through Voltage Regulation
inferredcites →https://doi.org/10.1109/tste.2012.2205025openalex-snapshot
Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System's Inertia
inferredcites →https://doi.org/10.1109/wosspa.2013.6602387openalex-snapshot
Appliance consumption signature database and recognition test protocols
inferredcites →https://doi.org/10.1145/2018536.2018544openalex-snapshot
Markovian models for home electricity consumption
inferredcites →https://doi.org/10.1145/2674061.2674064openalex-snapshot
The ECO data set and the performance of non-intrusive load monitoring algorithms
inferredcites →https://doi.org/10.1145/2674061.2675032openalex-snapshot
PLAID: a public dataset of high-resoultion electrical appliance measurements for load identification research
inferredcites →https://doi.org/10.11648/j.ijepe.20160503.16openalex-snapshot
Non-intrusive Appliance Load Monitoring (NIALM) System with the Possibility for Users to Follow the Consumption of Individual Electricity Appliances from the Calendar
inferredcites →https://doi.org/10.13140/rg.2.1.3713.1606/1openalex-snapshot
Representative electrical load profiles of residential buildings in Germany with a temporal resolution of one second
inferredcites →https://doi.org/10.2991/ict4s-14.2014.44openalex-snapshot
SustData: A Public Dataset for ICT4S Electric Energy Research
inferredcites →https://doi.org/10.3390/en11030607openalex-snapshot
The Determination of Load Profiles and Power Consumptions of Home Appliances
inferredcites →https://doi.org/10.3390/en11082112openalex-snapshot
A Bottom-Up Model for Household Load Profile Based on the Consumption Behavior of Residents
inferredcites →https://doi.org/10.48550/arxiv.1611.05803openalex-snapshot
COOLL: Controlled On/Off Loads Library, a Public Dataset of High-Sampled Electrical Signals for Appliance Identification
inferredcites →https://doi.org/10.48550/arxiv.2009.09287openalex-snapshot
Data-Driven Load Profiles and the Dynamics of Residential Electric PowerConsumption
inferredcites →https://doi.org/10.5281/zenodo.5063427openalex-snapshot
REFIT: Electrical Load Measurements (Cleaned)
inferredcites →https://doi.org/10.57702/2jr9jl1aopenalex-snapshot
BLUED: A Fully Labeled Public Dataset for Event-Based Non-Intrusive Load Monitoring Research
inferredcites →https://doi.org/10.7910/dvn/zjw4lcopenalex-snapshot
RAE: The Rainforest Automation Energy Dataset
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Representative Load Profiles and Low-Voltage Grid Simulations for Austria
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A Comparative Evaluation of Synthetic Load Profile Generators Across Unseen Datasets
inferred← citeshttps://doi.org/10.1109/isitia63062.2024.10667848openalex-snapshot
Optimal Reconfiguration of Distribution Network With Photovoltaic Using Binary Particle Swarm Optimization Considering Voltage Stability Index
inferred← citeshttps://doi.org/10.1109/pesgm52003.2023.10252389openalex-snapshot
A Machine Learning-based Short-term Load Forecasting Method for Behind-the-meter DERs
inferred← citeshttps://doi.org/10.1109/pvsc59419.2025.11132807openalex-snapshot
Methodology to Incorporate Backup Generator Sizing Using the Microgrid Design Toolkit
inferred← citeshttps://doi.org/10.1109/reepe53907.2022.9731386openalex-snapshot
Estimated Loads of Household Electrical appliances
inferred← citeshttps://doi.org/10.1109/reepe53907.2022.9731476openalex-snapshot
Analysis of the maximum electrical load of multi-apartment residential buildings in the power supply systems of cities
inferred← citeshttps://doi.org/10.1109/reepe57272.2023.10086879openalex-snapshot
Probabilistic-statistical analysis of the maximum electrical load of apartment
inferred← citeshttps://doi.org/10.1109/reepe60449.2024.10479740openalex-snapshot
Analysis of the Local Daily Maximum Load of Apartment Using Probabilistic and Statistical Methods
inferred← citeshttps://doi.org/10.1109/reepe60449.2024.10479850openalex-snapshot
The Influence of Meteorological Factors on the Electrical Load of Residential Buildings
inferred← citeshttps://doi.org/10.1109/reepe69046.2026.11481370openalex-snapshot
Analysis of Electrical Load in Apartments of Multi-Storey Residential Buildings within Urban Power Supply Systems
inferred← citeshttps://doi.org/10.1109/sest53650.2022.9898438openalex-snapshot
Modeling and Application of Probabilistic Electrical Household Loads in Distribution Grid Simulations
inferred← citeshttps://doi.org/10.1109/tce.2025.3563272openalex-snapshot
Learning and Generating Diverse Residential Load Patterns Using GAN With Weakly-Supervised Training and Weight Selection
inferred← citeshttps://doi.org/10.1109/tia.2025.3574294openalex-snapshot
Demand Response Baseline Estimation for Public Fast Charging Stations Based on DSW-Informer
inferred← citeshttps://doi.org/10.1109/tii.2021.3095101openalex-snapshot
High Reporting Rate Smart Metering Data for Enhanced Grid Monitoring and Services for Energy Communities
inferred← citeshttps://doi.org/10.1109/tim.2023.3302387openalex-snapshot
Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process
inferred← citeshttps://doi.org/10.1109/tpwrs.2025.3639368openalex-snapshot
A Cyber Insurance Policy for Hedging Against Load-Altering Attacks and Extreme Load Variations in Distribution Grids
inferred← citeshttps://doi.org/10.1109/tsg.2021.3107239openalex-snapshot
Enhancing the Spatio-Temporal Observability of Grid-Edge Resources in Distribution Grids
inferred← citeshttps://doi.org/10.1109/tsg.2025.3576697openalex-snapshot
Distribution Grid State Estimation With Limited Actual and Pseudo Measurements
inferred← citeshttps://doi.org/10.1109/tsusc.2025.3605668openalex-snapshot
Residential Load Modeling With Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tvt.2024.3403455openalex-snapshot
Private Metering in EV Charging Infrastructure: An OCPP Extension
inferred← citeshttps://doi.org/10.1109/upec61344.2024.10892609openalex-snapshot
Generating Industrial and Residential Load Profile Scenarios with a Multivariate Elliptical Copula Approach
inferred← citeshttps://doi.org/10.1109/upec65436.2025.11279909openalex-snapshot
Prosumer Profiles considering different Storage Operation Strategies
inferred← citeshttps://doi.org/10.1109/ussec53120.2021.9655722openalex-snapshot
The Concept of Optimizing the Efficiency of the Calculation of the Electrical Loads of Kindergartens and Schools
inferred← citeshttps://doi.org/10.1145/3538637.3539763openalex-snapshot
High-resolution real-world electricity data from three microgrids in the global south
inferred← citeshttps://doi.org/10.1145/3575882.3575950openalex-snapshot
Household Electricity Profile as Alternative Data for Credit Appraisal
inferred← citeshttps://doi.org/10.1145/3679240.3734591openalex-snapshot
Scalable Supply and Demand Matching Involving Up-to-Date Information from Individual Prosumers
inferred← citeshttps://doi.org/10.1186/s42162-023-00262-7openalex-snapshot
A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
inferred← citeshttps://doi.org/10.1186/s42162-024-00304-8openalex-snapshot
ESTSS—energy system time series suite: a declustered, application-independent, semi-artificial load profile benchmark set
inferred← citeshttps://doi.org/10.12813/kieae.2026.26.1.127openalex-snapshot
A Case Study on Energy and Carbon Reduction Effects through Household-Specific Plug Load Characteristics and Behavioral Changes
inferred← citeshttps://doi.org/10.14529/power230103openalex-snapshot
A COMPARATIVE ANALYSIS OF THE ELECTRIC LOAD ON WEEKDAYS AND WEEKENDS OF MULTI-APARTMENT BUILDINGS WITH ELECTRIC STOVES IN THE POWER SUPPLY SYSTEMS OF LARGE CITIES
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3918609/v1openalex-snapshot
A Novel Load Forecast, and Sizing Model of a Hybrid PV-Hydroelectric Microgrid System Using Python
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4561990/v1openalex-snapshot
Bottom-Up Medium-Term Hourly Resolution Household Electricity Load Profile Model
inferred← citeshttps://doi.org/10.2139/ssrn.5417544openalex-snapshot
Research on the Evolution of the Qinghai-Tibet Plateau Power System under Glacier-Hydrological-Ecological-Power Coupling
inferred← citeshttps://doi.org/10.2139/ssrn.6054734openalex-snapshot
AI-Based Assessment of Aggregate Load Profiles and the Impacts of Electric Heavy Goods Vehicle Decarbonisation in UK Distribution Networks
inferred← citeshttps://doi.org/10.2139/ssrn.6168895openalex-snapshot
Optimal Energy Management of PV-BESS-EV integrated Microgrid incorporating Future Load Profile Nomination
inferred← citeshttps://doi.org/10.22215/etd/2022-15282openalex-snapshot
Investigating the Techno-Economic and Environmental Performance of Hydrogen Deployment Paradigms in Canada
inferred← citeshttps://doi.org/10.22555/pjets.v12i1.1065openalex-snapshot
A Systematic Empirical Evaluation of Machine Learning Algorithm on Energy Prediction
inferred← citeshttps://doi.org/10.23919/indiacom70271.2026.11525723openalex-snapshot
Optimised LSTM Model for Electric Load Forecasting Using Genetic Algorithm: A Comparison with Machine Learning Methods
inferred← citeshttps://doi.org/10.24018/ejece.2024.8.5.649openalex-snapshot
A Comparative Analysis of Power Consumption While Using Open-Source and Proprietary Media Players
inferred← citeshttps://doi.org/10.24251/hicss.2023.097openalex-snapshot
Sustainable Energy System Planning in Developing Countries: Facilitating Load Profile Generation in Energy System Simulations
inferred← citeshttps://doi.org/10.29327/256539.1.1-5openalex-snapshot
Metodologia para Estimação de Curvas de Carga de Unidades Consumidoras Individuais
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.08openalex-snapshot
DESENVOLVIMENTO DE UM PROTÓTIPO EDUCACIONAL DE BAIXO CUSTO (MÃO ROBÓTICA)
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.14openalex-snapshot
MODELAGEM E CONSTRUÇÃO DE UM ROBÔ MÓVEL DE BAIXO CUSTO UTILIZANDO MANUFATURA ADITIVA
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.21openalex-snapshot
AVALIAÇÃO DA CAPACIDADE EMPREENDEDORA 4.0 NO BRASIL
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.35openalex-snapshot
PERCEPÇÃO DO CONSUMIDOR EM RELAÇÃO À CONTRATAÇÃO DE SEGUROS: UMA ANÁLISE NO MUNICÍPIO DE SANTA ROSA/RS
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.46openalex-snapshot
CAPACIDADE ANTIOXIDANTE E CARACTERÍSTICAS FÍSICO-QUÍMICAS DE MANGARITO AMARELO NO ARMAZENAMENTO
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.62openalex-snapshot
ANÁLISE DE TÉCNICAS DE PRÉ-PROCESSAMENTO PARA A SEGMENTAÇÃO DE IMAGENS DE VITILIGO
inferred← citeshttps://doi.org/10.29367/issn.1809-3957.17.2022.203.68openalex-snapshot
SIMULADOR DINÂMICO DO CONSUMO DE ENERGIA ELÉTRICA RESIDENCIAL
inferred← citeshttps://doi.org/10.30724/1998-9903-2021-23-6-134-147openalex-snapshot
Analysis of the actual electrical loads of public premises embedded in residential buildings
inferred← citeshttps://doi.org/10.30724/1998-9903-2022-24-4-142-153openalex-snapshot
Сalculation of the correction factor to the normative values of specific electric loads of multiple residential buildings Moscow and Moscow region
inferred← citeshttps://doi.org/10.3390/a18050287openalex-snapshot
Generation of Realistic Synthetic Load Profile Based on the Markov Chains Theory: Methodology and Case Studies
inferred← citeshttps://doi.org/10.3390/app14219782openalex-snapshot
Optimal Energy Management Systems and Voltage Stabilization of Renewable Energy Networks
inferred← citeshttps://doi.org/10.3390/bdcc7030145openalex-snapshot
Applied Digital Twin Concepts Contributing to Heat Transition in Building, Campus, Neighborhood, and Urban Scale
inferred← citeshttps://doi.org/10.3390/buildings14092896openalex-snapshot
Fuzzy-Logic-Based Cascaded Decentralized Control and Power Quantification of Residential Buildings for Effective Energy Load Management
inferred← citeshttps://doi.org/10.3390/electronics12244909openalex-snapshot
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
inferred← citeshttps://doi.org/10.3390/electronics14102015openalex-snapshot
Power Profiling of Smart Grid Users Using Dynamic Time Warping
inferred← citeshttps://doi.org/10.3390/en14082167openalex-snapshot
A Cross-Country Model for End-Use Specific Aggregated Household Load Profiles
inferred← citeshttps://doi.org/10.3390/en16104072openalex-snapshot
A Rigorous Standalone Literature Review of Residential Electricity Load Profiles
inferred← citeshttps://doi.org/10.3390/en16237707openalex-snapshot
Balancing of Low-Voltage Supply Network with a Smart Utility Controller Leveraging Distributed Customer Energy Sources
inferred← citeshttps://doi.org/10.3390/en17061392openalex-snapshot
Factors Influencing Electricity Consumption in Rural Households
inferred← citeshttps://doi.org/10.3390/en17112534openalex-snapshot
A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies
inferred← citeshttps://doi.org/10.3390/en18040775openalex-snapshot
Applications of Electrical Load Modelling in Digital Twins of Power Systems
inferred← citeshttps://doi.org/10.3390/info15030142openalex-snapshot
Disaggregation Model: A Novel Methodology to Estimate Customers’ Profiles in a Low-Voltage Distribution Grid Equipped with Smart Meters
inferred← citeshttps://doi.org/10.3390/jsan10020037openalex-snapshot
Digital Twin-Driven Decision Making and Planning for Energy Consumption
inferred← citeshttps://doi.org/10.3390/machines11040416openalex-snapshot
Effect of Penetration Levels for Vehicle-to-Grid Integration on a Power Distribution Network
inferred← citeshttps://doi.org/10.3390/s24175619openalex-snapshot
HYDROSAFE: A Hybrid Deterministic-Probabilistic Model for Synthetic Appliance Profiles Generation
inferred← citeshttps://doi.org/10.3390/s25247632openalex-snapshot
Forecasting Energy Demand in Quicklime Manufacturing: A Data-Driven Approach
inferred← citeshttps://doi.org/10.3390/s26154978openalex-snapshot
Short-Term Aggregated Residential Load Forecasting of Low-Voltage Distribution Networks Based on Graph Neural Networks and K-Means Clustering
inferred← citeshttps://doi.org/10.3390/su13116199openalex-snapshot
An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy
inferred← citeshttps://doi.org/10.3390/su141912777openalex-snapshot
Gaussian Process Regression Based Multi-Objective Bayesian Optimization for Power System Design
inferred← citeshttps://doi.org/10.3390/su16156326openalex-snapshot
Advancing Electricity Consumption Forecasts in Arid Climates through Machine Learning and Statistical Approaches
inferred← citeshttps://doi.org/10.3390/wevj15040172openalex-snapshot
Optimal Allocation of Fast Charging Stations on Real Power Transmission Network with Penetration of Renewable Energy Plant
inferred← citeshttps://doi.org/10.37394/232016.2026.21.1openalex-snapshot
Comparative Analysis of Energy Consumption in a University Building Using Traditional and Smart Metering: A Case Study with Uncertainty Quantification for Demand Response
inferred← citeshttps://doi.org/10.4236/jpee.2024.128001openalex-snapshot
Load Profile Analysis for Mitigating Load-Shedding in Central Africa: Case of Kinshasa
inferred← citeshttps://doi.org/10.48084/etasr.19077openalex-snapshot
Techno-Economic and Environmental Optimization of a Grid-Connected Photovoltaic-Utility Hybrid System for Industrial Applications in Sohar, Oman
inferred← citeshttps://doi.org/10.48550/arxiv.2009.09287openalex-snapshot
Data-Driven Load Profiles and the Dynamics of Residential Electric PowerConsumption
inferred← citeshttps://doi.org/10.48550/arxiv.2102.07801openalex-snapshot
Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids
inferred← citeshttps://doi.org/10.61547/3475openalex-snapshot
Identificando las necesidades energéticas para proyectos de electrificación rural de comunidades aisladas de la red eléctrica.
inferred← citeshttps://doi.org/10.62292/njp.v35i4.2026.680openalex-snapshot
Assessment of Household Electricity Consumption and Appliance Energy Demand in Maiduguri, Nigeria
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