rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: AI and wind power
    part number: 2
    part name: Advancing sustainability, grid integration, and future frameworks
  name:
    name part: Kumar, Abhishek
    role:
      role term: editor.
  name:
    name part: Kumar T., Ananth.
  name:
    name part: Dubey, Ashutosh Kumar.
  name:
    name part: Srivastav, Arun Lal.
  name:
    name part: Juarez-Ramirez, J. Reyes.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2026
    copyright date: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (336 p.)
  abstract: 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.
  target audience: Professional and scholarly.
  note: edited by Abhishek Kumar.. [and 4 others].
  note: Electronic book.
  subject:
    topic: Wind power
  classification: TJ828 .A332 2026
  classification: 621.4/5
  related item:
    title info:
      title: Computer engineering series (London, England)
  identifier: 9781394464272
  identifier: 1394464274
  identifier: 9781394464265
  identifier: 1394464266
  identifier: 9781836691426
  identifier: a66w11r9 cloudLibrary
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 260604
    record change date: 20260623165936.1
    record identifier: in00005785836
    language of cataloging:
      language term: eng