Khasawneh, Hussam J.; Al-Khatib, Waseem M.; Ghazal, Zaid A. - In: Renewable and sustainable energy transition 7 (2025), pp. 1-9
machine learning (ML) techniques into solar power scheduling. Traditional methods, often constrained by static schedules, fail … limitations by employing ML algorithms to accurately predict solar generation patterns, enabling more efficient scheduling of … our approach in optimizing solar energy use, particularly in settings where traditional scheduling methods fall short. The …
