Academic Press Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modeling, Control, Optimization, Forecasting and Fault Diagnosis

Product Description 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 on how, when and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase PV system efficiency. Sections cover problem-solving data for challenges, including optimization, advanced control, output power forecasting, fault detection identification and localization, and more. Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of AI-techniques and their applications in photovoltaic systems will provide valuable guidance for scientists and researchers working in this area. Review Comprehensive and detailed reference on the why, when and how for applying AI techniques in photovoltaic applications From the Back Cover <i>Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis</i> 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.<br><br>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 Professor Soteris Kalogirou obtained his PhD and DSc from the University of Glamorgan, UK. For more than 30 years, he has been actively involved in research of solar energy and in flat plate and concentrating collectors, solar water heating, solar steam generating systems, desalination, photovoltaics and absorption cooling in particular. He has many books and book contributions and has published large number papers in international scientific journals and refereed conference proceedings. He is Editor-in-Chief of Renewable Energy and Deputy Editor-in-Chief of Energy, as well as Editorial Board Member of another eleven journals. He is the author of the book Solar Energy Engineering: Processes and Systems and Thermal Solar Desalination, both published by Academic Press of Elsevier. He has been a member of World Renewable Energy Network (WREN), American Society of Heating Refrigeration and Air-conditioning Engineers (ASHRAE), Institute of Refrigeration (IoR) and International Solar Energy Society (ISES). Professor of Electronics in the Faculty of Sciences and Technology at Jijel University in Algeria.