Search results for "Electricity prediction"

showing 2 items of 2 documents

Forecasting Electricity Consumption and Production in Smart Homes through Statistical Methods

2022

Abstract Over the last years, a steady increase in both domestic electricity consumption and in the adoption of personal clean energy production systems has been observed worldwide. By analyzing energy consumption and production on photovoltaic panels mounted in a house, this work focuses on finding patterns in electrical energy consumption and devising a predictive model. Our goal is to find an accurate method to predict electrical energy consumption and production. Being able to anticipate how consumers will use energy in the near future, homeowners, companies and governments may optimize their behavior and the import and export of electricity. We evaluated the ARIMA and TBATS statistical…

Consumption (economics)Renewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industryTBATSGeography Planning and DevelopmentPhotovoltaic systemElectricity predictionTransportationEnergy consumptionARIMAEnvironmental economicsEnergy management systemSmart housePhotovoltaic panelsWork (electrical)ARIMA; Electricity prediction; Energy management system; Photovoltaic panels; Smart house; TBATSProduction (economics)Autoregressive integrated moving averageElectricityEnergy management systembusinessCivil and Structural EngineeringSustainable Cities and Society
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A study on forecasting electricity production and consumption in smart cities and factories

2019

Abstract The electrical power sector must undergo a thorough metamorphosis to achieve the ambitious targets in greenhouse gas reduction set forth in the Paris Agreement of 2015. Reducing uncertainty about demand and, in case of renewable electricity generation, supply is important for the determination of spot electricity prices. In this work we propose and evaluate a context-based technique to anticipate the electricity production and consumption in buildings. We focus on a household with photovoltaics and energy storage system. We analyze the efficiency of Markov chains, stride predictors and also their combination into a hybrid predictor in modelling the evolution of electricity producti…

Energy storageComputer scienceComputer Networks and CommunicationsContext (language use)02 engineering and technologyLibrary and Information SciencesEnergy storageElectricity prediction; Energy management system; Energy storage; Markov chains; Photovoltaics; Information Systems; Computer Networks and Communications; Library and Information Sciences020204 information systems0502 economics and business0202 electrical engineering electronic engineering information engineeringProduction (economics)Energy management systemElectricity prediction; Energy management system; Energy storage; Markov chains; PhotovoltaicsMarkov chainsbusiness.industry05 social sciencesElectricity predictionEnvironmental economicsRenewable energyEnergy management systemPhotovoltaicsElectricity generation050211 marketingElectric powerElectricitybusinessInformation Systems
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