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A. Torres-Sánchez

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Open access Jul 2026

Short-Term Electricity Demand Forecasting: A Comparative Evaluation of Models Based on Performance Criteria and Future Research Directions

A rigorous comparative analysis of electricity demand forecasting models, encompassing statistical methods, Machine Learning, Deep Learning, Deep Learning, and hybrid architectures are presented, thereby providing a unified reference framework for researchers and energy-sector practitioners.

A. Torres-Sánchez, Á. Jaramillo-Duque, W. Villa-Acevedo · Processes · 0 citations