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

Weiming Hu, Guido Cervone, Andre Merzky, Matteo Turilli, Shantenu Jha

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 21×13=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.

Original languageEnglish (US)
Article number107824
JournalData in Brief
StatePublished - Feb 2022

All Science Journal Classification (ASJC) codes

  • General


  • Distributed computing
  • Ensemble simulation
  • Renewable energy
  • Solar photovoltaic


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