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

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