Create tactical demand forecasts

- the first notebook runs the tactical-forecasts command
- the second notebook describes the tactical demand forecasting process
  + demand aggregation on a per-pixel level
  + time series generation: horizontal, vertical, and real-time time series
  + STL decomposition into seasonal, trend, and residual components
  + choosing the most promising forecasting model
  + predicting demand with various models
- fix where to re-start the forecasting process after it was interrupted
- enable the heuristic for choosing the most promising model
  to also work for 7 training weeks
This commit is contained in:
Alexander Hess 2021-02-04 23:41:21 +01:00
commit 9d6de9d98c
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
5 changed files with 3480 additions and 4 deletions

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