AI-Driven Integration of Renewable Energy and Electric Vehicles in Multi-Microgrid Systems: Enhancing Resilience, Security, and Decarbonization
This interdisciplinary PhD project aims to explore the intelligent integration of renewable energy sources and Fuel Cells into multi-microgrid systems, with a focus on enhancing resilience, cyber-physical security, and decarbonization. Leveraging advanced artificial intelligence (AI) and machine learning (ML) techniques, the research will develop scalable models and optimization frameworks to support real-time decision-making, emission reduction, and secure energy management. The project aligns with global sustainability goals and supports industry collaboration, including potential engagement with ETAP software and fuel cell infrastructure.
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