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Forecasting Meeting Minutes for Week of September 27, 2016

Present: Gordon, Brieanna, Jaimie

  • More coordination with Seyyed
  • 1. Well documented code
  • 2. Learning abt signal processing/machine learning
  • Reproducing what Masaki did
    • Visualizing Data w/ 3D plotting:
      • Contact Masaki
  • Work on normalized data with Zenith Angle
  • 3. Forecast Solar Irradiance
    • Recursive least squares
    • Least mean squares
  • Machine learning aspect
  • 4. Understanding solar data
    • PV and solar data (non-linear relationship)
    • Weather effects sudden changes in weather
      • Reserve or storage energy
      • Shift demands
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