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

Comprehensive and detailed reference on the why, when and how for applying AI techniques in photovoltaic applications

Adel Mellit (Author), Soteris Kalogirou (Author)

9780128206416

Paperback, published 28 June 2022

374 pages, 60 illustrations (40 in full color)
22.9 x 15.1 x 2.4 cm, 1 kg

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.

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

Subject Areas: Alternative & renewable energy sources & technology [THX]