Search NASA⌕ Search

DOE OSTI · code-55783

LBNL-Load

Abstract

This software package is a set of Python-based tools for forecasting future time series of electrical power demand for a granular set of customer types in California, based on historical data on individual customers' demand, combined with aggregate forecasts of demand growth.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Gerke, Brian, Dunn, Laurel, Berger, Michael, Smith, Sarah, Liu, Jingjing. 2019-01-03. LBNL-Load. https://doi.org/10.11578/dc.20210422.2

Cite the original work for its findings. Save a collection to share your selection of sources.