Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Handbook of Artificial Intelligence Techniques in Photovoltaic Systems

Modelling, Control, Optimization, Forecasting and Fault Diagnosis

1st Edition - June 24, 2022

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  • Authors: Soteris Kalogirou, Adel Mellit
  • Paperback ISBN: 9780128206416

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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

  • No. of pages: 374
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: June 24, 2022
  • Imprint: Academic Press
  • Paperback ISBN: 9780128206416

About the Authors

Soteris Kalogirou

Soteris Kalogirou
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).

Affiliations and Expertise

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

Adel Mellit

Professor of Electronics in the Faculty of Sciences and Technology at Jijel University in Algeria.

Affiliations and Expertise

Professor of Electronics, Faculty of Sciences and Technology, Jijel University, Algeria

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