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.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
1. Solar radiation2. Photovoltaic systems
3. Artificial intelligence techniques
4. Modelling and forecasting of solar radiation
5. Sizing and optimization of photovoltaic systems
6. Tracking the maximum power point in photovoltaic systems
7. Control of photovoltaic systems
8. Output power forecasting
9. Fault detection and diagnosis techniques for photovoltaic systems
10. Advanced or smart monitoring systems
11. AI-technique based hardware implementation in photovoltaic systems
Authors
Adel Mellit Professor of Electronics, Faculty of Sciences and Technology, Jijel University, Algeria. Adel Mellit is Professor at the Faculty of Sciences and Technology, Jijel University, Algeria. He received his MS and PhD in electronics from the University of Sciences Technologies (USTHB), Algiers in 2002 and 2006, respectively. His research interests Q1focus on the application of artificial intelligence techniques in photovoltaic systems and microgrids (control, fault diagnosis, optimization, and real-time applications). Dr. Adel Mellit has authored or coauthored more than 170 papers in international peer-reviewed journals (mostly with Elsevier), papers in conference proceedings (mostly with the IEEE) mainly on photovoltaic systems, six book chapters, and two books. He is the director of the Renewable Energy Laboratory at the Jijel University, Algeria, and is an associate member at the ICTP Trieste, Italy. He is serving on the editorial board of the Renewable Energy and is Editor of the IEEE Journal of Photovoltaic and
of Energy (Elsevier Ltd). https://orcid.org/0000-0001-5458-3502 Soteris Kalogirou Professor, Department of Mechanical Engineering and Materials Sciences and Engineering, Cyprus University of Technology, Limassol, Cyprus. 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).
