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: Artificial intelligence in power system optimization
  name:
    name part: Ongsakul, Weerakorn.
    role:
      role term: creator
  name:
    name part: Vo, Dieu Ngoc.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    place:
      place term: Boca Raton, FL
    publisher: CRC Press, Taylor & Francis
    date issued: ©2013
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (ix, 510 pages) : illustrations
  abstract: "With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization"--
  table of contents: 1. Introduction -- 2. Economic dispatch -- 3. Unit commitment -- 4. Hydrothermal scheduling -- 5. Optimal power flow -- 6. Optimal reactive power dispatch -- 7. Available transfer capability.
  note: Weerakorn Ongsakul, Dieu Ngoc Vo.
  note: Includes bibliographical references and index.
  subject:
    topic: Electric power systems
    topic: Automatic control
  subject:
    topic: Intelligent control systems
  subject:
    topic: Réseaux électriques (Énergie)
    topic: Commande automatique
  subject:
    topic: Commande intelligente
  subject:
    topic: MATHEMATICS
    topic: General
  subject:
    topic: MATHEMATICS
    topic: Applied
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Power Resources
    topic: Electrical
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Electrical
  subject:
    topic: Electric power systems
    topic: Automatic control
  subject:
    topic: Intelligent control systems
  classification: TK1007 .O53 2013eb
  classification: 621.310285/63
  classification: MAT000000 MAT003000 TEC031020
  related item:
    title info:
      title: Artificial intelligence in power system optimization
    name:
      name part: Ongsakul, Weerakorn.
    origin info:
      publisher: Boca Raton : Taylor & Francis, 2013
    identifier: (DLC) 2013010310
    identifier: (OCoLC)812688464
  identifier: 9781466573420
  identifier: 1466573422
  identifier: 1299704409
  identifier: 9781299704404
  identifier: 9781578088058
  identifier: 1578088054
  identifier: 501691 MIL
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 130603
    record change date: 20241111204715.2
    record identifier: in00005527629
    language of cataloging:
      language term: eng