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Dr Mahmoud Dhimish

Photovoltaics

University of Huddersfield



Dr Mahmoud Dhimish is a lecturer in Electronics and Control Engineering, and the director of the Photovoltaic (PV) laboratory at the Department of Computing and Engineering at the University of Huddersfield, UK. He received his MSc degree in electronics and communication engineering and his PhD degree in renewable energy from the University of Huddersfield. His main research interests concern the modelling and monitoring of Renewable Energy Systems (RES), photovoltaic fault detection, photovoltaic micro-cracks and hot-spots detection, and forecasting photovoltaic solar power generation. Mahmoud's recent research focuses on the use of artificial intelligent (AI) techniques (fuzzy logic, and artificial neural networks (ANN)) to detect faults in power systems comprising photovoltaic plants and wind turbines.

Some of the major applications of the developed techniques include a PV fault detection algorithm based on statistical approaches; comparing Mamdani Sugeno and radial-based function (RBF) ANN network for PV fault detection; investigating the impact of micro-cracks on PV output power performance; and developing a novel hot-spot mitigation technique to enhance photovoltaic solar panels' output power generation.

He has served as a member of the international program committee for several international conferences. He is an author and co-author of over 30 publications, and holds an intellectual property (UK-based patent) application on the development of PV fault detection algorithms based on artificial intelligent systems. He is also an active reviewer for international journals, including Renewable Energy, Solar Energy, Electric Power Systems Research, and IEEE Transactions on Smart Grid. Mahmoud is a member of the Institution of Engineering and Technology (IET), and a member of the Institute of Electrical and Electronics Engineering (IEEE).