Litcius/Paper detail

Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents’ psychological preferences and calendar variables

Ru‐xin Nie, Zhang‐peng Tian, Ruyin Long, Wei Dong

2022Expert Systems with Applications27 citationsDOI

Topics & Concepts

Computer scienceElectricityElectricity demandArtificial intelligenceMachine learningDemand forecastingOperations researchEconometricsEconomicsElectricity generationMathematicsEngineeringPower (physics)Electrical engineeringQuantum mechanicsPhysicsEnergy Load and Power ForecastingSmart Grid Energy ManagementEnergy and Environment Impacts
Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents’ psychological preferences and calendar variables | Litcius