Artificial Intelligence for Sustainable Energy Systems 1
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artificial intelligence (AI)
asset maintenance
big data analytics
blockchain-enabled energy trading
Category=KNB
Category=UYQ
deep learning
digital energy management
digital twins
energy demand
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eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
forthcoming
machine learning
predictive modeling
renewable energy systems
renewable optimization
smart grids
Product details
- ISBN 9781836690979
- Publication Date: 14 Sep 2026
- Publisher: ISTE Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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.
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.
Inam Ul Haq is an assistant professor at the CGC University, Mohali, India. His research specializes in AI, quantum computing, renewable energy analytics, medical research and integrating AI-driven solutions across engineering and healthcare domains.
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.
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.
