Open access
Sep 2026
An Application of Deep Learning for Short-Term Electricity Load Forecasting
The results show high accuracy with LSTM without temperature providing the best average performance; however, an analysis per regime shows that the errors are concentrated in the ramping conditions where GRU and Transformer–LSTM are more robust, pointing to the importance of regime-aware evaluation.
D. Mitrushi, Valbona Muda, I. Berdufi et al.
· WSEAS Transactions on power... · 0 citations