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 digitalization in energy management
  name:
    name part: Sanfilippo, Antonio P.
    role:
      role term: editor.
  name:
    name part: Bayhan, Sertac
    role:
      role term: editor.
  name:
    name part: Boscovic, Dragan
    role:
      role term: editor.
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (480 pages).
  abstract: "This book explores the role of digitalization and the growing interest in using AI for energy management. Edited by a team of senior scientists, with ample project and industry experience, the book systematically covers methods, applications including forecasting and maintenance, and economic aspects.The chapters cover solar and meteorological data collection and simulation, digital twins and data wrangling, ML, game theory and AI for energy management, edge to cloud, federated learning and quantum computing for energy management, intra-hour solar forecasting, use of synchrophasor technology, AI-powered energy conversion and resilience, explainable AI, electric mobility integration, optimization for EV adoption, predictive PV maintenance, AI and robotics for PV inspection, and blockchain-based microgrids.AI and Digitalization in Energy Management will prove a useful resource for researchers in universities, research institutes and in industry involved with clean energy and AI systems, grid operators, as well as energy policy makers and advanced students in energy engineering."--
  table of contents: Sensor-based collection of solar and meteorological data / Dunia Bachour, Daniel Perez-Astudillo -- Synthetic data generation through power hardware-in-the-loop (PHIL) simulations / Abdelbasset Krama, Anas Karaki, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub, Mohd Zamri Che Wanik -- Data generation through digital twins / Dragan Boscovic, Antonio Sanfilippo, Sertac Bayhan -- Data wrangling / Daniel Perez-Astudillo, Dunia Bachour -- Machine learning / Joseph Cazier, Dragan Boscovic -- Game theory and AI for strategic energy management / Anas Karaki, Khaled Abedrabboh, Luluwah Al-Fagih -- Edge to cloud / Milenko Tosic, Fábio Coelho, Luis Ferreira, David Rua, Dragan Boscovic -- AI in energy management: the market view / Sa'd Shannak, Deeb Alashgar, Abdalrahman Migdad -- Federated learning for energy management applications / Rami Hamdi, Marwa Qaraqe -- Quantum computing for energy management: a semi-non-technical guide for practitioners / Jirawat Tangpanitanon -- Mapping all-sky images to GHI measurements for intra-hour solar forecasting / Nassma Mohandes, Daniel Perez-Astudillo, Dunia Bachour, Antonio Sanfilippo -- Real-time measurement of electrical signal in medium-voltage distribution network using synchrophasor technology / Mohd Zamri Che Wanik, Abdullah Abdul Jabbar, Mohamed Gad, Antonio Sanfilippo -- AI-powered power conversion / Ali Sharida, Naheel Kamal, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub -- Empowering resilience: AI and the future of microgrids / Ali Sharida, Anas Karaki, Sertac Bayhan, Ugur Fesli, Haitham Abu-Rub -- Building trust by design through explainable AI for resilient and cognitive smart grids / Mohamed Massaoudi, Haitham Abu-Rub, Ali Ghrayeb -- Electric mobility integration: a deep dive into AI solutions / Ali Sharida, Anas Karaki, Sertac Bayhan, Haitham Abu-Rub -- Optimization problems related to electric vehicle adoption / Raka Jovanovic, Sertac Bayhan -- Predictive photovoltaic maintenance strategies / Antonio Sanfilippo, Dhanup Pillai, Ju…
  note: edited by Antonio P. Sanfilippo, Sertac Bayhan, Dragan Boscovic.
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Renewable energy sources
    topic: Technological innovations
  subject:
    topic: Renewable energy sources
    topic: Data processing
  subject:
    topic: Intelligence artificielle
    topic: Applications en ingénierie
  subject:
    topic: Énergies renouvelables
    topic: Innovations
  subject:
    topic: Artificial intelligence
    topic: Engineering applications
  subject:
    topic: Renewable energy sources
    topic: Technological innovations
  subject:
    topic: Renewable energy sources
    topic: Data processing
  classification: 621.042028563
  related item:
    title info:
      title: Energy engineering
  identifier: 9781839539800
  identifier: 1839539801
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 250718
    record change date: 20260511202642.0
    record identifier: in00005781605
    language of cataloging:
      language term: eng