Artificial Intelligence for Sustainable Energy Systems 1 : Intelligent Technologies for Sustainable Energy Management
Language: English
Published by Wiley Sep 2026, 2026
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 173.96
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Add to basketItem description from seller
Neuware - Artificial Intelligence for Sustainable Energy Systems 1 presents a comprehensive exploration of how intelligent technologies are transforming modern energy infrastructures toward a more sustainable and efficient future. This book brings together the fundamental concepts of artificial intelligence (AI), machine learning, deep learning and big data analytics, with their practical integration into renewable energy systems, smart grids and digital energy management platforms. The book covers key developments such as AI-driven renewable optimization, predictive modeling for energy demand, digital twins for asset maintenance, blockchain-enabled energy trading, IoT-based smart grids and intelligent monitoring systems. By blending theoretical insights with real-world technological implementations, the book highlights how data-driven intelligence enhances reliability, security and sustainability across energy ecosystems. Designed for researchers, engineers, graduate students and policymakers, this book serves as a fundamental reference for advancing intelligent solutions in next-generation sustainable energy systems.…
Seller Inventory # 9781836690979
- Title
- Artificial Intelligence for Sustainable Energy Systems 1 : Intelligent Technologies for Sustainable Energy Management
- Author
- Inam Ul Haq
- Publisher
- Wiley Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1836690975
- ISBN 13
- 9781836690979
- Item weight
- 564 grams
- Dimensions
- 235x156x20 mm
This book brings together the fundamental concepts of artificial intelligence (AI), machine learning, deep learning and big data analytics, with their practical integration into renewable energy systems, smart grids and digital energy management platforms. The book covers key developments such as AI-driven renewable optimization, predictive modeling for energy demand, digital twins for asset maintenance, blockchain-enabled energy trading, IoT-based smart grids and intelligent monitoring systems. By blending theoretical insights with real-world technological implementations, the book highlights how data-driven intelligence enhances reliability, security and sustainability across energy ecosystems.
Designed for researchers, engineers, graduate students and policymakers, this book serves as a fundamental reference for advancing intelligent solutions in next-generation sustainable energy systems.
"Synopsis" may belong to another edition of this title.
About the Author
Sanna Mehraj Kak is an assistant professor at the Noida Institute of Engineering and Technology, India. Her research specializes in AI, cybersecurity and cloud computing.
Anand Kumar Gupta is a professor and head of CSE (AI) at the Noida Institute of Engineering and Technology, India. His research specializes in AI, ML, DL, social network analysis, NLP and link prediction.
Muhammad Sher Ramzan is a professor at the Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Saudi Arabia. His research specializes in information security, next-generation networks, information systems, ubiquitous and smart computing, and cloud computing.
"About the title" may belong to another edition of this title.
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