Data-driven load diversity and variability modeling for quasi-static time-series simulation on distribution feeders : preprint / Xiangqi Zhu and Barry Mather.
Series InformationConference paper (National Renewable Energy Laboratory (U.S.)) ; 5D00-73146.
- Physical Description: 1 online resource (5 pages) : color illustrations.
- Publisher: Golden, CO : National Renewable Energy Laboratory, 2019.
Presented at the 2019 IEEE Power and Energy Society General Meeting (IEEE PES GM), 4-8 August 2019, Atlanta, Georgia.
|Bibliography, etc. Note:||
Includes bibliographical references.
|Funding Information Note:||
Contract No. DE-AC36-08GO28308.
|Source of Description Note:||
Description based on online resource; title from PDF title page (NREL, viewed on Aug. 3, 2020).
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|Subject:||Electric power distribution.