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Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

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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.

Citation Formats

Sandia National Laboratories. (2021). Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States [data set]. Retrieved from https://dx.doi.org/10.25984/1812011.
Export Citation to RIS
Gunda, Thushara, Jackson, Nicole. Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. United States: N.p., 01 Apr, 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. https://dx.doi.org/10.25984/1812011
Gunda, Thushara, Jackson, Nicole. 2021. "Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States". United States. https://dx.doi.org/10.25984/1812011. https://data.openei.org/submissions/4055.
@div{oedi_4055, title = {Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States}, author = {Gunda, Thushara, 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}, url = {https://data.openei.org/submissions/4055}, journal = {}, number = , volume = , place = {United States}, year = {2021}, month = {04}}
https://dx.doi.org/10.25984/1812011

Details

Data from Apr 1, 2021

Last updated Jun 14, 2024

Submitted Apr 1, 2021

Organization

Sandia National Laboratories

Contact

Thushara Gunda

505.845.3440

Authors

Thushara Gunda

Sandia National Laboratories

Nicole Jackson

Sandia National Laboratories

DOE Project Details

Project Name Operation and Maintenance of PV Systems: Data Science, Analysis, and Standards

Project Number 34172

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