Modeling and Simulation of High-Frequency Solar Irradiance

Anthony Florita, Brian Hodge, Barry Mather, Wenqi Zhang, William Kleiber

Research output: Contribution to journalArticlepeer-review

12 Scopus Citations


As the use of solar power as a source of electricity is increasing, so is the interest in modeling radiation at high temporal resolutions. High-dimensional remote sensing data products depend on cloud cover variability, atmosphere aerosol levels, and other atmospheric parameters. Because of weather fronts and aerosols, it is difficult to quantify solar power variability based on distributed solar networks. The global horizontal irradiance (GHI) component in the National Solar Radiation Database (NSRDB) is available at a 30-min time resolution. The algorithm proposed in this paper produces 1-min-resolution GHI samples at locations where NSRDB data are available. The synthetic irradiance datasets are produced using log-additive non-Gaussian mixture models and resampling techniques. The model is trained over historical data, and predicted values are compared with in situ data. This approach allows for estimating the solar irradiance at subhourly temporal resolutions, while featuring variability for locations where measurements are otherwise not available.

Original languageAmerican English
Article number8571318
Pages (from-to)124-131
Number of pages8
JournalIEEE Journal of Photovoltaics
Issue number1
StatePublished - Jan 2019

Bibliographical note

Publisher Copyright:
© 2011-2012 IEEE.

NREL Publication Number

  • NREL/JA-5D00-72698


  • Downscaling
  • irradiance generation
  • mixture distribution
  • stochastic modeling


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