U.S. Department of EnergyOffice of Scientific and Technical Information
PLUSWIND Derived Data
Abstract
This dataset consists of annual CSV files containing multiple sources of modeled, hourly wind speeds and generation. For complete information about this dataset, including validation of modeled generation versus recorded generation, please see the Scientific Data article: Millstein, D., Jeong, S., Ancell, A., & Wiser, R. (2023). A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models. Scientific Data, 10(1), 883. https://doi.org/10.1038/s41597-023-02804-w
- Authors:
-
- Lawrence Berkeley National Laboratory; Pacific Northwest National Laboratory
- Publication Date:
- Research Org.:
- Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Subject:
- 17 WIND ENERGY
- OSTI Identifier:
- 1903602
- DOI:
- https://doi.org/10.21947/1903602
Citation Formats
Millstein, Dev. PLUSWIND Derived Data. United States: N. p., 2025.
Web. doi:10.21947/1903602.
Millstein, Dev. PLUSWIND Derived Data. United States. doi:https://doi.org/10.21947/1903602
Millstein, Dev. 2025.
"PLUSWIND Derived Data". United States. doi:https://doi.org/10.21947/1903602. https://www.osti.gov/servlets/purl/1903602. Pub date:Tue Apr 01 00:00:00 EDT 2025
@article{osti_1903602,
title = {PLUSWIND Derived Data},
author = {Millstein, Dev},
abstractNote = {This dataset consists of annual CSV files containing multiple sources of modeled, hourly wind speeds and generation. For complete information about this dataset, including validation of modeled generation versus recorded generation, please see the Scientific Data article: Millstein, D., Jeong, S., Ancell, A., & Wiser, R. (2023). A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models. Scientific Data, 10(1), 883. https://doi.org/10.1038/s41597-023-02804-w},
doi = {10.21947/1903602},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 01 00:00:00 EDT 2025},
month = {Tue Apr 01 00:00:00 EDT 2025}
}
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