Quantifying Uncertainty

  • Test set as well as SILO observations for 2006 to 2020 leveraged to measure uncertainty of model predictions under climate profiles.
  • Quantile regression over residuals estimates corresponding confidence level.
  • Assess Uncertainty in aggregate via:
    • Mean Prediction Interval (MPI)
      mean width of prediction (\(\pm Wm^{-2}\)).

Creative Commons License
Downscaling Global Climate Models with Convolutional and Long-Short-Term Memory Networks for Solar Energy Applications by C.P. Davey is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.