Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method

Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method

The long-term electricity demand forecast of the consumer utilization is essential for the energy provider to analyze the future demand and for the accurate management of demand response. Forecasting the consumer electricity demand with efficient and accurate strategies will help the energy provider...

Bibliografski detalji
Glavni autori:	Santanu Kumar Dash, Michele Roccotelli, Rasmi Ranjan Khansama, Maria Pia Fanti, Agostino Marcello Mangini
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2021-09-01
Serija:	Applied Sciences
Teme:	time series analysis energy demand forecast ARIMA hybrid model power theft
Online pristup:	https://www.mdpi.com/2076-3417/11/18/8612

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