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: Big data analytics in future power systems
  name:
    name part: Zobaa, Ahmed F.
    role:
      role term: editor.
  name:
    name part: Bihl, Trevor J.
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Power systems are increasingly collecting large amounts of data due to the expansion of the Internet of Things into power grids. In a smart grids scenario, a huge number of intelligent devices will be connected with almost no human intervention characterizing a machine-to-machine scenario, which is one of the pillars of the Internet of Things. The book characterizes and evaluates how the emerging growth of data in communications networks applied to smart grids will impact the grid efficiency and reliability. Additionally, this book discusses the various security concerns that become manifest with Big Data and expanded communications in power grids.
  table of contents: Introduction. Big Data Application and Analytics in a Large-Scale Power System. The Role of Big Data in Smart Grid Communications. Big Data Optimization in Electric Power Systems: A Review. Security Methods for Critical Infrastructure Communications. Data-Mining Methods for Electricity Theft Detection Unit Commitment Control of Smart Grids. A New Transformer Differential Protection Algorithm Based on Data Pattern Recognition.
  note: [edited by] Ahmed F. Zobaa and Trevor J. Bihl.
  note: Includes bibliographical references.
  subject:
    topic: Smart power grids
    topic: Data processing
  subject:
    topic: Big data
  subject:
    topic: Electric power systems
  subject:
    topic: Réseaux électriques intelligents
    topic: Informatique
  subject:
    topic: Données volumineuses
  subject:
    topic: Réseaux électriques (Énergie)
  subject:
    topic: TECHNOLOGY & ENGINEERING
    topic: Mechanical
  subject:
    topic: Big data
  subject:
    topic: Electric power systems
  classification: TK3105 .B54 2018eb
  classification: 621.310285/57
  related item:
    title info:
      title: Big data analytics in future power systems
    origin info:
      publisher: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T & F Informa, plc, 2018
    identifier: (DLC) 2018024681
    identifier: (OCoLC)1037041814
  identifier: 9781315105499
  identifier: 1315105497
  identifier: 9781138095885
  identifier: 1138095885
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 180824
    record change date: 20241108165941.7
    record identifier: in00005525157
    language of cataloging:
      language term: eng