Solar Production Forecasting
Wettersol AB · Jönköping University · Jan – Feb 2024
Daily solar energy production forecasts for a Swedish solar installer.
Solar Production ForecastingApplied AI Project · visuals coming soon
Daily production forecasting for Wettersol, a Swedish solar installer: how much energy will an installation produce tomorrow, and across the swing of a Nordic year.
LSTM networks against Random Forest baselines over production time series, with meteorological data integrated for the seasonal effects.
What it does
- LSTM and Random Forest models over production time series.
- Meteorological data integrated for seasonal forecasting.
- Daily-resolution production forecasts.
Stack
← Back to portfolioLSTMRandom ForestTime SeriesPython