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: Location selection of fast-charging station for heavy-duty EVs using GIS and grid analysis
    sub title: preprint
  title info:
    title: Location selection of fast-charging station for heavy-duty electric vehicles using geographic information system and grid analysis
  name:
    name part: Zhang, Mingzhi
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: National Renewable Energy Laboratory (U.S.)
    role:
      role term: issuing body.
  type of resource: text
  genre: bibliography
  genre: conference publication
  origin info:
    place:
      place term: cou
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (5 pages) : color illustrations.
  note: Mingzhi Zhang [and four others].
  note: "February 2021."
  note: "Presented at the 2021 IEEE Innovative Smart Grid Technologies, North America (ISGT NA) February 15-18, 2021."
  note: Includes bibliographical references (page 5).
  note: Conference paper.
  note: National Renewable Energy Laboratory DE-AC36-08GO28308
  subject:
    geographic code: n-us---
  subject:
    topic: Geographic information systems
    geographic: United States
  subject:
    topic: Electric vehicles
    geographic: United States
  subject:
    topic: Battery charging stations (Electric vehicles)
    geographic: United States
  classification: E 9.17:NREL/CP-5D 00-77823
  related item:
    title info:
      title: Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-77823
  identifier: https://purl.fdlp.gov/GPO/gpo160051
  record info:
    record content source: GPO
    record creation date: 210921
    record change date: 20211123110901.0
    record identifier: in00004363964
    language of cataloging:
      language term: eng