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 : 9781836691433
Publication Date : July 2026
Hardcover 286 pp
170 USD
Co-publisher
Artificial Intelligence for Sustainable Energy Systems 2 advances the global dialogue on clean energy transformation by showcasing how intelligent technologies are shaping the future of renewable power, climate resilience and net-zero strategies.
This book explores cutting-edge AI applications in solar and wind forecasting, optimized energy management, green hydrogen production, marine energy systems and intelligent electric mobility. It further examines data-driven solutions for environmental challenges, global energy policies supported by AI and adaptive frameworks for climate-driven sustainability. Through a blend of technical innovation, strategic insights and forward-looking perspectives, the book highlights how AI accelerates renewable adoption, enhances system efficiency and supports long-term environmental goals.
Designed for researchers, engineers, policymakers and sustainability professionals, this book provides a comprehensive roadmap for leveraging AI to build resilient, intelligent and future-ready energy ecosystems.
1. AI for Solar Energy Forecasting and Optimization, Sarika Agarwal, Mamta Narwaria, Rohit Kumar and Savita Singh.
2. Integrating ANN, SVM and GA for Optimized Wind Resource Assessment and Energy Management, Vikrant Sharma and Salliah Shafi.
3. Next-Generation Renewables: AI Applications in Green Hydrogen Production and Marine Energy Harvesting, Pardeep Kumar, Sanjeev Kumar and Mohammad Badruddoza Talukder.
4. Mapping the Research Landscape of AI in Electric Vehicles: A Bibliometric Analysis of Foundations and Emerging Trends, Nivedita Jha, Rakhi Arora and Sonal Purohit.
5. AI-Enabled Predictive and Adaptive Solutions for Environmental and Energy Challenges, Inderdeep Kaur.
6. Harnessing AI to Address Environmental and Energy Challenges in a Climate-Driven World, Sahil Sharma and Rishi Kant.
7. Global Policies and AI-Enabled Energy Strategies, Adil Husain Rather, Inam Ul Haq and Irfan Rasool.
8. Pathways to Net-Zero: Challenges, Risks and the Future of AI in Sustainable Energy, Mushtaq Ahmad Rather and Vatika Jalali.
9. The Future of AI, ML and DL in Energy and Sustainability, Mamta Narwaria, Sarika Agarwal, Renu Mishra, Aman Kumar, Avinash Chauhan and Ramneet.
10. Hydrogen Intelligence (HyAI): A Data-Driven Approach to Transforming the Global Hydrogen Ecosystem, Deepak Kumar and Shaman Sharma.
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.
