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Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Modeling, Control, Optimization, Forecasting and Fault Diagnosis

  • 1st Edition - June 23, 2022
  • Latest edition
  • Authors: Adel Mellit, Soteris Kalogirou
  • Language: English

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a compre… Read more

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.

Key features

  • Includes intelligent methods in real-time using reconfigurable circuits FPGAs, DSPs and MCs
  • Discusses the newest trends in AI forecasting, optimization and control applications
  • Features MATLAB and Simulink examples highlighted throughout

Readership

Renewable energy engineers, researchers, academics, scientists, research centers and companies building products in the field of photovoltaics
Post-graduate students interested in the application of AI-techniques in photovoltaics and PhD students

Table of contents

1. Solar radiation

2. 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

Product details

  • Edition: 1
  • Latest edition
  • Published: June 28, 2022
  • Language: English

About the authors

AM

Adel Mellit

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.

Affiliations and expertise
Faculty of Sciences and Technology, University of Jijel, Algeria

SK

Soteris Kalogirou

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.
Affiliations and expertise
Professor, Department of Mechanical Engineering and Materials Sciences and Engineering, Cyprus University of Technology, Limassol, Cyprus

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