Open access
Aug 2026
Comparative Analysis of LSTM and Hybrid Attention-Based Architectures for Short-Term Electricity Consumption Forecasting: A Case Study in Togo
Overall, the study demonstrates that recurrent deep learning architectures provide reliable and operationally relevant solutions for electricity consumption forecasting in highly structured energy demand series.
Séna Apeke, Yao Bokovi, K. Gbafa et al.
· Science Journal of Energy En... · 0 citations