Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
DOI
10.25984/1988650
Publicly accessible
License
This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.
Citation Formats
TY - DATA
AB - This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.
AU - Gilletly, Samuel
A2 - Jackson, Nicole
A3 - Staid, Andrea
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1988650
KW - energy
KW - solar energy
KW - wildfire risk
KW - PM2.5
KW - solar photovoltaic
KW - PV
KW - raw data
KW - processed data
KW - Excel
LA - English
DA - 2023/05/15
PY - 2023
PB - Sandia National Laboratories
T1 - Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production
UR - https://doi.org/10.25984/1988650
ER -
Gilletly, Samuel, et al. Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production. Sandia National Laboratories, 15 May, 2023, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1988650.
Gilletly, S., Jackson, N., & Staid, A. (2023). Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production. [Data set]. Open Energy Data Initiative (OEDI). Sandia National Laboratories. https://doi.org/10.25984/1988650
Gilletly, Samuel, Nicole Jackson, and Andrea Staid. Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production. Sandia National Laboratories, May, 15, 2023. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1988650
@misc{OEDI_Dataset_5862,
title = {Dataset for Evaluating the Impact of Wildfire Smoke on Solar Photovoltaic Production},
author = {Gilletly, Samuel and Jackson, Nicole and Staid, Andrea},
abstractNote = {This dataset was used to support machine learning model development for wildfire impacts on utility-scale solar in the United States. The dataset includes information regarding energy generation, PM2.5, clearness index, temperature, wind speed, precipitation, and site size.},
url = {https://data.openei.org/submissions/5862},
year = {2023},
howpublished = {Open Energy Data Initiative (OEDI), Sandia National Laboratories, https://doi.org/10.25984/1988650},
note = {Accessed: 2025-05-07},
doi = {10.25984/1988650}
}
https://dx.doi.org/10.25984/1988650
Details
Data from May 15, 2023
Last updated Dec 6, 2023
Submitted Jun 5, 2023
Organization
Sandia National Laboratories
Contact
Samuel Gilletly
Authors
Research Areas
Keywords
energy, solar energy, wildfire risk, PM2.5, solar photovoltaic, PV, raw data, processed data, ExcelDOE Project Details
Project Name Advanced Grid Modeling
Project Number 36277
