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

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.

Data and Resources

Field Value
DOI 10.25984/1812011
accessLevel public
bureauCode {019:20}
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dataQuality true
identifier https://data.openei.org/submissions/4055
issued 2021-04-01T06:00:00Z
landingPage https://data.openei.org/submissions/4055
license https://creativecommons.org/licenses/by/4.0/
modified 2021-08-17T15:16:56Z
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]]]}
programCode {019:023,019:000,019:008}
projectNumber 34172
projectTitle Operation and Maintenance of PV Systems: Data Science, Analysis, and Standards
publisher Sandia National Laboratories
resource-type Dataset
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • ai
  • amerigeo
  • amerigeoss
  • analysis
  • artificial-intelligence
  • ckan
  • climate-region
  • data
  • data-fusion
  • energy
  • extreme-weather
  • flood
  • flooding
  • geo
  • geoss
  • humidity-zone
  • hurricanes
  • lightning
  • machine-learning
  • maintenance
  • national
  • north-america
  • photovoltaic
  • power
  • production
  • pv
  • rain
  • snow
  • solar
  • storm
  • temperature-zone
  • united-states
  • weather
  • wind
  • wind-speed
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Thushara Gunda
maintainer_email tgunda@sandia.gov
metadata_created 2025-11-21T19:24:19.669889
metadata_modified 2025-11-21T19:24:19.669894
notes 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.
num_resources 2
num_tags 35
title Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States