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

Metadata Updated: August 18, 2021

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.

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources


Metadata Created Date July 22, 2021
Metadata Updated Date August 18, 2021

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date July 22, 2021
Metadata Updated Date August 18, 2021
Publisher Sandia National Laboratories
Doi 10.25984/1812011
Data First Published 2021-04-01T06:00:00Z
Data Last Modified 2021-08-17T15:16:56Z
Public Access Level public
Bureau Code 019:20
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Data Quality True
Harvest Object Id 872c683c-325c-4b15-a8c3-e94bd63813a8
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL
Old Spatial {"type":"Polygon","coordinates":-125.1877,30.202354530848773,-67.89410000000002,30.202354530848773,-67.89410000000002,48.80270683429179,-125.1877,48.80270683429179,-125.1877,30.202354530848773}
Program Code 019:023, 019:000, 019:008
Projectnumber 34172
Projecttitle Operation and Maintenance of PV Systems: Data Science, Analysis, and Standards
Source Datajson Identifier True
Source Hash b12df02d4f2724a2cfa33bf35544a73ce98c9db8
Source Schema Version 1.1
Spatial {"type":"Polygon","coordinates":-125.1877,30.202354530848773,-67.89410000000002,30.202354530848773,-67.89410000000002,48.80270683429179,-125.1877,48.80270683429179,-125.1877,30.202354530848773}

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