Research by Mohamed A. Ghalib, published in Scientific Reports, explores the use of machine learning to predict maximum power in photovoltaic systems. The study, using decision tree regression, demonstrates improved tracking performance under varying environmental conditions, offering valuable insights for optimizing solar energy systems.