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Author

Séna Apeke

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Open access Oct 2026

Wavelet-Enhanced Deep Learning for Multi-Variable Meteorological Time-Series Forecasting in Togo

Accurate short-term forecasting of meteorological variables remains a major challenge in tropical regions characterized by strong diurnal variability, seasonal transitions, intermittent atmospheric fluctuations, and highly non-stationary temporal dynamics. This study proposes a hybrid deep-learning framework combining...

Séna Apeke, Senanou Gbafa, Felicien Kokou Wotodzo et al. · 0 citations
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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