http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Advancing sustainability, grid integration, and future frameworks
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.
edited by Abhishek Kumar.. [and 4 others].
Computer engineering series (London, England)