Dash, S.K.; Roccotelli, M.; Khansama, R.R.; Fanti, M.P.; Mangini, A.M.
Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method. Appl. Sci. 2021, 11, 8612.
https://doi.org/10.3390/app11188612
AMA Style
Dash SK, Roccotelli M, Khansama RR, Fanti MP, Mangini AM.
Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method. Applied Sciences. 2021; 11(18):8612.
https://doi.org/10.3390/app11188612
Chicago/Turabian Style
Dash, Santanu Kumar, Michele Roccotelli, Rasmi Ranjan Khansama, Maria Pia Fanti, and Agostino Marcello Mangini.
2021. "Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method" Applied Sciences 11, no. 18: 8612.
https://doi.org/10.3390/app11188612
APA Style
Dash, S. K., Roccotelli, M., Khansama, R. R., Fanti, M. P., & Mangini, A. M.
(2021). Long Term Household Electricity Demand Forecasting Based on RNN-GBRT Model and a Novel Energy Theft Detection Method. Applied Sciences, 11(18), 8612.
https://doi.org/10.3390/app11188612