AI-Driven Integration of Renewable Energy and Electric Vehicles in Multi-Microgrid Systems: Enhancing Resilience, Security, and Decarbonization
School of Science, Engineering and Environment
- Funding
- Self-Funded PhD Students Only
- Application deadline
- Year-round applications
About the project
About the Project 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. Supervisor Information: Dr Arunachalam Sundaram Dr Amir Nourian For more information about the School of Science, Engineering and Environment at the University of Salford visit: https://www.salford.ac.uk/school-of-science-engineering-and-environment/postgraduate-research-in-the-school-of-science-engineering-and-environment Please use this Research Proposal, Personal statement, and CV GUIDE when preparing an application: https://issuu.com/universityofsalford2/docs/seeresearchproposalpersonalstatementcvguid?fr=xKAE9zU1NQ