A new hourly dataset for photovoltaic energy production for the continental USA

This new dataset is an ensemble of solar photovoltaic energy production simulations over the continental US. The simulations are carried out in three steps. First, a weather forecast system is used for the predictions of incoming insolation; then, forecast ensembles with 21 members are generated using the Analog Ensemble technique; finally, each ensemble member is used to simulate 13 different solar panels. In total, there are 21 X 13 = 273 simulated scenarios. Simulations are carried out for the entire year 2019, with a temporal resolution of one hour, and a spatial resolution of 12 km. The data provide a high spatio-temporal analysis of the power production under different weather and engineering scenarios. The size of the entire dataset is about 1 TB but can be openly accessed by days and scenarios. Details on how to access and use such a dataset are provided in this article.

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Resource Type publication
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Resource Format PDF
Standardized Resource Format PDF
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Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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Resource Support Email opensky@ucar.edu
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Author Hu, Weiming
Cervone, Guido
Merzky, Andre
Turilli, Matteo
Jha, Shantenu
Publisher UCAR/NCAR - Library
Publication Date 2022-02-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T18:17:30.852299
Metadata Record Identifier edu.ucar.opensky::articles:25355
Metadata Language eng; USA
Suggested Citation Hu, Weiming, Cervone, Guido, Merzky, Andre, Turilli, Matteo, Jha, Shantenu. (2022). A new hourly dataset for photovoltaic energy production for the continental USA. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7rj4p5h. Accessed 24 April 2025.

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