Artificial Intelligence for Solar Photovoltaic Systems
Language: English
Published by Taylor and Francis Ltd, GB, 2022
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 221.85
Quantity: Over 20 available
Add to basketItem description from seller
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.…
Seller Inventory # LU-9781032054414
- Title
- Artificial Intelligence for Solar Photovoltaic Systems
- Author
- Bhavnesh Kumar
- Publisher
- Taylor and Francis Ltd, GB
- Publication year
- 2022
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1032054417
- ISBN 13
- 9781032054414
- Item weight
- 680 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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