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
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