DOE OSTI · code-170579
sdt (Solar Data Tools) [SWR-25-130]
Abstract
Solar Data Tools (sdt) is an open-source Python library for analyzing PV power (and irradiance) time-series data. It was developed to enable analysis of unlabeled PV data, i.e. with no model, no meteorological data, and no performance index required, by taking a statistical signal processing approach in the algorithms used in the package’s main data processing pipeline. Solar Data Tools empowers PV system fleet owners or operators to analyze system performance a hundred times faster even when they only have access to the most basic data stream—power output of the system.
Keep this discovery
Explore connections, maps & timelines
Meyers-Im, Bennet [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Miskovitch, Sara [SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)], Ogut, Giray [SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)]. 2025-11-06. sdt (Solar Data Tools) [SWR-25-130]. https://doi.org/10.5281/zenodo.17496289
Cite the original work for its findings. Save a collection to share your selection of sources.