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: Integration of Low Carbon Technologies in Smart Grids
  name:
    name part: Zarrilli, Donato.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVII, 95 p. 35 illus., 11 illus. in color. online resource.
  abstract: The thesis provides different opportunities and ideas to face some current challenges in the electricity systems. It focuses on the effective and efficient integration of distributed low carbon technologies in the grid of the future. Planning and operation problems for different clean solutions, such as market bidding strategies for intermittent energy producers, demand side management algorithms for smart buildings, and electrical storage options for network operators, are studied for facilitating the integration of renewable energy sources in the power system chain.
  table of contents: Introduction -- Bidding renewable energy in the electricity market -- Demand Response management in smart buildings -- Conﬁguration and control of storages in distribution networks -- Conclusions and future research- Bibliography.
  note: by Donato Zarrilli.
  subject:
    topic: Renewable energy resources
  subject:
    topic: Control engineering
  subject:
    topic: Power electronics
  subject:
    topic: Operations research
  subject:
    topic: Management science
  subject:
    topic: Renewable and Green Energy
  subject:
    topic: Control and Systems Theory
  subject:
    topic: Power Electronics, Electrical Machines and Networks
  subject:
    topic: Operations Research, Management Science
  classification: TJ807-830
  classification: 621.042
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319983585
  identifier: https://doi.org/10.1007/978-3-319-98358-5
  record info:
    record creation date: 180810
    record change date: 20191022151146.0
    record identifier: 978-3-319-98358-5