Source code 

Model Identifier and version number

  • StatCast 
  • Version 1.0

Citation Information

  • Title
    • DOE Solar StatCast (RD-ANN)
  • Abstract

    • This regime dependent artificial neural network (RD-ANN) system classifies cloud regimes with a k-means algorithm based on a combination of surface weather observations, irradiance observations and GOES-East satellite data.  The ANNs are then trained on each cloud regime to predict the clearness index.

  • Author(s)
    • Tyler McCandless, Tom Brummet, Sue Dettling, Sue Haupt
  • Point of Contact
    • Tom Brummet
  • Creation Date
    • September 27, 2016
  • Modification Date
  • Identifier Code
    • DOE Solar Technology Transfer
  • Use Constraints
    • None

Distribution Information

Model description

  • This regime dependent artificial neural network (RD-ANN) system classifies cloud regimes with a k-means algorithm based on a combination of surface weather observations, irradiance observations and GOES-East satellite data.  The ANNs are then trained on each cloud regime to predict the clearness index.

Intended use

  • To produce irradiance forecasts using previous irradiance values, along with weather variables.

Key assumptions

  • Reqiures solar irradiance observations at the location of interest and nearby weather observations taken at the surface and satellite based observations in order to produce irradiance forecast.Reqiures solar irradiance observationss at the location of interest and nearby weather forecasts in order to produce irradiance forecast.

Documentation and References

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