Artificial Intelligence for Solar Photovoltaic Systems: Approaches, Methodologies, and Technologies - Rilegato

 
9781032054414: Artificial Intelligence for Solar Photovoltaic Systems: Approaches, Methodologies, and Technologies

Sinossi

This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques.

It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI.

This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.

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Informazioni sull?autore

Bhavnesh Kumar is an Assistant Professor in the area of power electronics & drives at the Division of Instrumentation & Control Engineering, NSIT Delhi.

Bhanu Pratap is working as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India.

Vivek Shrivastava presently is the Dean (Research & Consultancy) at the National Institute of Technology Delhi.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9781032119472: Artificial Intelligence for Solar Photovoltaic Systems: Approaches, Methodologies, and Technologies

Edizione in evidenza

ISBN 10:  1032119470 ISBN 13:  9781032119472
Casa editrice: CRC Press, 2024
Brossura