National School of Scientific Applications, Morocco
Mr. Oussama Khouili is a PhD student at ENSA El Jadida, Chouaib Doukkali University, specializing in the integration of Artificial Intelligence and Renewable Energy with a focus on solar irradiance forecasting and photovoltaic system optimization. His research develops advanced Machine Learning and Deep Learning models, including ShuffleNet, CNNs, physics-guided networks, PCA-based transformations, FFT techniques, and metaheuristic optimization algorithms such as Particle Swarm Optimization. He has completed and is leading multiple projects on solar prediction accuracy, feature selection methods, smart grid technologies, and AI-driven renewable energy solutions. He has authored peer-reviewed articles in prestigious SCI and Scopus-indexed journals including Energy Strategy Reviews, International Journal of Energy Research, and IEEE Power Electronics Magazine, with 29 citations and an h-index of 2. He has also published four ISBN-indexed book chapters on AI applications in renewable energy and environmental management systems such as ISO 14001. Recognized with a Research Excellence Award, he actively contributes as an independent reviewer and collaborates internationally to bridge advanced computational intelligence with sustainable energy solutions addressing global climate challenges.