Edited by
Inam Ul Haq, CGC University, Mohali - India.
Saana Mehraj Kak, Noida Institute of Engineering and Technology, India.
Anand Kumar Gupta, Noida Institute of Engineering and Technology, India.
Muhammad Sher Ramzan, King Abdulaziz University, Saudi Arabia.
ISBN : 9781836690979
Publication Date : July 2026
Hardcover 294 pp
170 USD
Co-publisher
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.
1. Introduction to Sustainable Energy Systems, Inam Ul Haq.
2. Overview of AI, ML and DL Applications in Energy and Sustainability, Priya Pandey, Ashish Pandey and Hema Mahawar.
3. Overview of AI, ML and DL Applications in Energy and Sustainability, Mrinal Pandey and Monika Goyal.
4. Conceptual and Methodological Insights into AI, ML and DL for Energy and Environmental Challenges, Inderdeep Kaur.
5. AI in Renewable Energy Technologies, Jagdeep Kaur, Vidhi Gupta and Aditi Raj.
6. Big Data Analytics and Predictive Models in Energy Systems, Biswajit Das, Himanshu Pabbi, Shweta Singh, Monika Mehra and Sanny Kumar.
7. Smart Grids, IoT and AI: Transforming Energy Management for a Sustainable Future, Khalid Hafiz Mir and Anzah Bashir.
8. Digital Twins and AI for Predictive Maintenance of Renewable Energy Assets, Abdul Malik Ansari.
9. Digitally Enhanced Fire Alarm System Using Sensor Driven Arduino Implementation for Smart Energy Management, Ranjit Kumar Bindal and Akhil Nigam.
10. AI and Blockchain for Renewable Energy Trading. Hitendra Singh, Pradeep Kumar Sharma, Deepti Gupta, Fardeen Ahmad Khan, Bandana Kumari, Shivani Sharma, Prashant Kumar and Sanny Kumar.
11. Smart Energy Grids: Architecture, Security and Emerging Technologies, Dhruv Goel, Pratham Kumar, Mamta Narwaria and Md Jauhar Imam.
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.
Saana 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.
