H. Kassem

Deep Learning for Renewable Energy Forecasting and Demand Management: A Comparative Review of Architectures, Performance, and Regional Applications

Accurate forecasting of renewable energy generation and electricity demand are still critical challenges because of the inherently variable nature of renewable energy sources, and the inability of traditional statistical methods to model long-term dependencies that are not linear. This paper provides a comprehensive co...