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Séna Apeke

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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. · 0 citations

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