- Additional Authors
- National Renewable Energy Laboratory (U.S.), issuing body.
- Description
- 1 online resource (5 pages) : color illustrations.
- Series Statement
- NREL/CP ; 5D00-77823
- Uniform Title
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-77823.
- Alternative Title
- Location selection of fast-charging station for heavy-duty electric vehicles using geographic information system and grid analysis
- Subject
- Note
- "February 2021."
- "Presented at the 2021 IEEE Innovative Smart Grid Technologies, North America (ISGT NA) February 15-18, 2021."
- Bibliography (note)
- Includes bibliographical references (page 5).
- Type of Report (note)
- Funding (note)
- National Renewable Energy Laboratory
- Source of Description (note)
- Description based on online resource; title from PDF title page (NREL, viewed on Sept. 21, 2021).
- Call Number
- GPO Internet E 9.17:NREL/CP-5D 00-77823
- OCLC
- marcive1268549580
- Author
Zhang, Mingzhi, author.
- Title
Location selection of fast-charging station for heavy-duty EVs using GIS and grid analysis : preprint / Mingzhi Zhang [and four others].
- Publisher
Golden, CO : National Renewable Energy Laboratory, February 2021.
- Type of Content
text
- Type of Medium
computer
- Type of Carrier
online resource
- Series
NREL/CP ; 5D00-77823
Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-77823.
- Bibliography
Includes bibliographical references (page 5).
- Type Of Report
Conference paper.
- Funding
National Renewable Energy Laboratory DE-AC36-08GO28308
- Connect to:
- Added Author
National Renewable Energy Laboratory (U.S.), issuing body.
- Gpo Item No.
0430-P-04 (online)
- Sudoc No.
E 9.17:NREL/CP-5D 00-77823