EPformer: Unlocking day-ahead electricity price forecasting accuracy using the time–frequency domain feature learning strategy considering renewable energy
Hang Fan, Weican Liu, Zuhan Zhang, Wencai Run, Yunjie Duan, Dunnan Liu
Topics & Concepts
Electricity price forecastingComputer scienceElectricityElectricity marketRenewable energyEncoderAutocorrelationData miningArtificial intelligencePreprocessorMachine learningFeature (linguistics)BiddingCurse of dimensionalityDomain (mathematical analysis)AutoencoderWind powerElectricity generationConcept driftData modelingEnergy (signal processing)Data pre-processingFeature engineeringIntermittencyAutoregressive modelAutoregressive integrated moving averageEfficient energy useEnergy Load and Power ForecastingSmart Grid Energy ManagementElectric Power System Optimization