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: Smart cyber-physical power systems
    sub title: solutions from emerging technologies
    part number: Volume 2
  name:
    name part: Parizad, Ali
    role:
      role term: editor.
  name:
    name part: Baghaee, Hamid Reza
    role:
      role term: editor.
  name:
    name part: Rahman, Saifur
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: nju
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxxix, 576 pages) : color illustrations.
  abstract: "A practical roadmap to the application of artificial intelligence and machine learning to power systems. In an era where digital technologies are revolutionizing every aspect of power systems, Smart Cyber-Physical Power Systems, Volume 2: Solutions from Emerging Technologies shifts focus to cutting-edge solutions for overcoming the challenges faced by cyber-physical power systems (CPSs). By leveraging emerging technologies, this volume explores how innovations like artificial intelligence, machine learning, blockchain, quantum computing, digital twins, and data analytics are reshaping the energy sector. This volume delves into the application of AI and machine learning in power system optimization, protection, and forecasting. It also highlights the transformative role of blockchain in secure energy trading and digital twins in simulating real-time power system operations. Advanced big data techniques are presented for enhancing system planning, situational awareness, and stability, while quantum computing offers groundbreaking approaches to solving complex energy problems. For professionals and researchers eager to harness cutting-edge technologies within smart power systems, Volume 2 proves indispensable. Filled with numerous illustrations, case studies, and technical insights, it offers forward-thinking solutions that foster a more efficient, secure, and resilient future for global energy systems, heralding a new era of innovation and transformation in cyber-physical power networks. Welcome to the exploration of Smart Cyber-Physical Power Systems (CPPSs), where challenges are met with innovative solutions, and the future of energy is shaped by the paradigms of AI/ML, Big Data, Blockchain, IoT, Quantum Computing, Information Theory, Edge Computing, Metaverse, DevOps, and more." --
  note: edited by Ali Parizad, Hamid Reza Baghaee, Saifur Rahman.
  note: Includes bibliographical references and index.
  subject:
    topic: Cooperating objects (Computer systems)
  subject:
    topic: Electric power systems
    topic: Automation
  subject:
    topic: Artificial intelligence
  classification: TJ213 .S485 2025
  classification: 006.2/2
  related item:
    title info:
      title: IEEE Press series on power and energy systems ; 131
  identifier: 9781394334575
  identifier: 1394334575
  identifier: 9781394334599
  identifier: 1394334591
  identifier: 1394334567
  identifier: 9781394334568
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 250308
    record change date: 20260214210144.1
    record identifier: in00005620826
    language of cataloging:
      language term: eng