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Handbook of Artificial Intelligence Techniques in Photovoltaic Systems
Modeling, Control, Optimization, Forecasting and Fault Diagnosis
Adel Mellit , Soteris Kalogirou
Technology & Engineering / Power Resources / Alternative & Renewable
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.
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.
- 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
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