Younes ZahraouiView profile
Research Fellow
Younes Zahraoui is a Research Fellow at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His work focuses on enhancing power systems and microgrid resilience through advanced technologies like artificial intelligence and predictive control. Zahraoui's research addresses critical challenges in renewable energy integration, energy storage optimization, and smart grid infrastructure. Key research interests include AI-driven solutions for power system stability, fault detection, and grid resilience. His publications emphasize practical applications such as peer-to-peer energy trading frameworks, voltage inverter efficiency improvements, and explainable deep learning models for photovoltaic system reliability assessment. Zahraoui collaborates with international teams on projects involving multi-microgrid market participation and multi-energy community management. His recent work (2024-2025) demonstrates a focus on both theoretical advancements (e.g., mutated predictive control algorithms) and applied solutions (e.g., degradation cost modeling in energy storage systems). Zahraoui's contributions span academic journals like Renewable and Sustainable Energy Reviews , Sustainability , and IEEE Access , reflecting his interdisciplinary approach to energy systems research.








