Edited by
Abhishek Kumar, Chandigarh University, India.
Ananth Kumar T., IFET College of Engineering (Autonomous Institution), Tamil Nadu - India.
Ashutosh Kumar Dubey, Chitkara University, India.
Arun Lal Srivastav, Chitkara University, Himachal Pradesh - India.
J. Reyes Juárez-Ramírez, Universidad Autónoma de Baja California, Mexico.
ISBN :
Publication Date : July 2026
Hardcover 326 pp
170 USD
Co-publisher
As wind power scales from a complementary energy source to a cornerstone of global electricity systems, the challenge is no longer simply generating more clean energy - it is integrating, sustaining and governing the energy within an increasingly complex and interconnected grid. AI and Wind Power 2 examines how artificial intelligence (AI) is enabling this critical transition. Moving beyond turbine-level optimization, this book explores AI-driven architectures for hybrid renewable energy systems that unite wind with solar, hydro and storage. It presents advanced frameworks for smart grid management, dynamic balancing of variable resources and real-time sustainability optimization. Dedicated chapters address the economic and market impacts of AI in wind power, its role in shaping policy and regulatory frameworks, emerging applications in offshore wind, generative AI for system design and consumption behavior analysis.
An essential resource for engineers, policymakers, researchers and energy professionals, this book illuminates how intelligent systems are forging a more resilient, sustainable and adaptive energy future.
1. AI-Driven Advanced Smart Grid with Optimized Hybrid Renewable Energy Systems, Mary A.G. Ezhil, S. Jaisiva, M. Suthanthira, R. Anuja, M. Dhiviya Nycil and A.S. Monikandan.
2. Implementation of an AI-Driven Hybrid Renewable Energy Management System Using Deep Fuzzy-Based Particle Swarm Optimization (DFB-PSO), E. Afreen Banu, Rajasekaran Palaniappan, J.D. Dorathi Jayaseeli and P. Robert.
3. Generative AI for Hybrid Renewable Energy Systems (Solar–Wind–Hydro Integration), Mamta.
4. AI for Enhancing Sustainability in Wind Energy, Komal Mishra and Suman Chahar.
5. Intelligent Energy with AI-Driven Innovations in Wind Power Systems, R. Rajasree, D. Lakshmi and Malathy Batumalay.
6. Economic and Market Impacts of AI in Wind Power, Mantena Siva Pavan Kumar Raju and Mantena Sireesha.
7. AI for Policy and Regulatory Frameworks in Wind Power, Suman Chahar and Komal Mishra.
8. Implementation of an AI-Driven Wind Energy Sustainability Framework Using Reinforcement Learning-Optimized Deep Neuro-Fuzzy Controller (RL-DNFC), Rajasekaran Palaniappan, E. Afreen Banu, P. Robert and J.D. Dorathi Jayaseeli.
9. AI in Offshore Wind Energy Systems, V. Vanitha and M. Yashica.
10. Emerging AI Innovations in Wind Power, R. Gayathri and V. Vanitha.
11. Generative AI for Energy Consumption Behavior Analysis, S. Vanshika and Neetu Rani.
12. Wind Power Forecasting for Grid Stability Enhancement with Effective Integration of AI Techniques, J. Johncy Bai, A. Lelin Fred, S. Jaisiva, V. Velmurugan and T. Dharma Raj.
Abhishek Kumar is a senior IEEE member, and an assistant director and professor in the Department of Computer Science and Engineering at Chandigarh University, India.
Ananth Kumar T. is a senior IEEE member, and an associate professor and Head of the Department of Computer Science and Engineering at the IFET College of Engineering (Autonomous Institution), Tamil Nadu, India.
Ashutosh Kumar Dubey is an associate professor in the Department of Computer Science at the School of Engineering and Technology, Chitkara University, India.
Arun Lal Srivastav is an associate professor at the School of Engineering and Technology, Chitkara University, Himachal Pradesh, India.
J. Reyes Juárez-Ramírez is a professor–researcher in the Facultad de Ciencias Quíquimicas e Ingeniería, Universidad Autónoma de Baja California, Mexico.
