U.S. Department of EnergyOffice of Scientific and Technical Information
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
Abstract
This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events. After being processed with machine learning, the data was used in the "Evaluation of Extreme Weather Impacts on Utility-scale Photovoltaic Plant Performance in the United States" manuscript. Additional details are captured in the associated manuscript.
- Publication Date:
- Other Number(s):
- 4055
- Research Org.:
- DOE Open Energy Data Initiative (OEDI); Sandia National Laboratories
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
- Collaborations:
- Sandia National Laboratories
- Subject:
- AI; Array; analysis; artificial intelligence; climate region; data; data fusion; energy; extreme weather; flood; flooding; humidity zone; hurricanes; lightning; machine learning; maintenance; photovoltaic; power; production; pv; rain; snow; solar; storm; temperature zone; weather; wind; wind speed
- OSTI Identifier:
- 1812011
- DOI:
- https://doi.org/10.25984/1812011
Citation Formats
Gunda, Thushara, and Jackson, Nicole. Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. United States: N. p., 2021.
Web. doi:10.25984/1812011.
Gunda, Thushara, & Jackson, Nicole. Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. United States. doi:https://doi.org/10.25984/1812011
Gunda, Thushara, and Jackson, Nicole. 2021.
"Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States". United States. doi:https://doi.org/10.25984/1812011. https://www.osti.gov/servlets/purl/1812011. Pub date:Thu Apr 01 04:00:00 UTC 2021
@article{osti_1812011,
title = {Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States},
author = {Gunda, Thushara and Jackson, Nicole},
abstractNote = {This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events. After being processed with machine learning, the data was used in the "Evaluation of Extreme Weather Impacts on Utility-scale Photovoltaic Plant Performance in the United States" manuscript. Additional details are captured in the associated manuscript.},
doi = {10.25984/1812011},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Apr 01 04:00:00 UTC 2021},
month = {Thu Apr 01 04:00:00 UTC 2021}
}
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