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.

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.