DOE OSTI · code-70171
ConductorIdentification [SWR-21-58]
Abstract
This is a novel data-driven model that can identify power system model impedance for local utilities. The model builds a multi-category logistic regression that is trained on local utility secondary system partial GIS data, and then the model can be used to predict the conductor types/impedance for the local utilities secondary models.
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Wang, Wenbo, Giraldez Miner, Julieta, Keen, Jeremy. 2021-05-17. ConductorIdentification [SWR-21-58]. https://doi.org/10.11578/dc.20241219.2
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