Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a comprehensive and detailed overview of the role of Artificial Intelligence in PV systems. Covering up-to-date research and methods of how, when and why to use and apply AI techniques in solving most photovoltaic problems.
The book serves as a complete reference in applying intelligent techniques and algorithms to increase the PV systems efficiency. Each chapter solves a specific problem and can stand alone independently, this detailed book contains problem-solving data for challenges including optimization, advanced control, output power forecasting, fault detection identification and localization, and real time implementation of designed intelligent models (into FPGAs, DSPs or MCs) and smart monitoring systems. Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of the AI-techniques and their application in photovoltaic systems will be a valuable key guidance for scientists, researchers and industry sectors working in this area, to apply these techniques.
About the Author
Adel Mellit is a Professor at the Faculty of Sciences and Technology, University of Jijel, Algeria, and a Senior Associate Member at the International Centre of Theoretical Physics (ICTP), Trieste, Italy. He was previously the Director of the Renewable Energy Laboratory at University of Jijel. Prof. Mellit’s research focuses on the application of AI techniques, including deep learning and TinyML, in solar photovoltaic systems. He has authored or co-authored over 200 papers in international peer reviewed journals and numerous papers in conference proceedings, and has acted as editor of various conference proceedings. He is an Editor of the IEEE Journal of Photovoltaics, Subject Editor of the Energy journal (Elsevier) and an editorial board member of the Renewable Energy journal (Elsevier). He co-authored the Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting, and Fault Diagnosis, published by Elsevier under the Academic Press imprint in 2022.
Prof. Soteris Kalogirou is a Professor in the
Department of Mechanical Engineering
and Materials Science and Engineering at
the Cyprus University of Technology. In
addition to his Ph.D., he holds a D.Sc. and is
internationally recognized for his pioneering
contributions to renewable energy. He is a
Fellow of the European Academy of Sciences,
a Founding Member of the Cyprus Academy
of Sciences, Letters and Arts, a Member of
Academia Europaea, and a Fellow of the
International Artificial Intelligence Industry
Alliance. For over 35 years, he has conducted
research in solar energy, with expertise
encompassing solar collectors, solar water
heating, solar steam generation, desalination, photovoltaics, geothermal energy, and
absorption cooling. He has published extensively,
authoring numerous journal articles,
book chapters, and conference papers. His
books Solar Energy Engineering: Processes and
Systems and Thermal Solar Desalination: Methods and Systems (Academic Press, Elsevier)
are widely recognized references in the field.
He currently serves as Editor-in-Chief of
Renewable and Sustainable Energy Reviews.
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