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.
Citation Formats
TY - DATA
AB - 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.
AU - Gunda, Thushara
A2 - Jackson, Nicole
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1812011
KW - energy
KW - power
KW - pv
KW - extreme weather
KW - machine learning
KW - data fusion
KW - maintenance
KW - hurricanes
KW - snow
KW - storm
KW - photovoltaic
KW - AI
KW - artificial intelligence
KW - solar
KW - weather
KW - data
KW - production
KW - analysis
KW - wind
KW - wind speed
KW - rain
KW - flood
KW - flooding
KW - lightning
KW - climate region
KW - temperature zone
KW - humidity zone
LA - English
DA - 2021/04/01
PY - 2021
PB - Sandia National Laboratories
T1 - Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
UR - https://doi.org/10.25984/1812011
ER -
Gunda, Thushara, and Nicole Jackson. Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. Sandia National Laboratories, 1 April, 2021, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1812011.
Gunda, T., & Jackson, N. (2021). Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. [Data set]. Open Energy Data Initiative (OEDI). Sandia National Laboratories. https://doi.org/10.25984/1812011
Gunda, Thushara and Nicole Jackson. Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States. Sandia National Laboratories, April, 1, 2021. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1812011
@misc{OEDI_Dataset_4055,
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.},
url = {https://data.openei.org/submissions/4055},
year = {2021},
howpublished = {Open Energy Data Initiative (OEDI), Sandia National Laboratories, https://doi.org/10.25984/1812011},
note = {Accessed: 2025-05-04},
doi = {10.25984/1812011}
}
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
Research Areas
Keywords
energy, power, pv, extreme weather, machine learning, data fusion, maintenance, hurricanes, snow, storm, photovoltaic, AI, artificial intelligence, solar, weather, data, production, analysis, wind, wind speed, rain, flood, flooding, lightning, climate region, temperature zone, humidity zoneDOE Project Details
Project Name Operation and Maintenance of PV Systems: Data Science, Analysis, and Standards
Project Number 34172
