same station-wise normalisation for all subsets
The current implementation scales each subset by its own statistics. Therefore mean/std of train, val and test differ. But this is from a current point of view not a good behaviour. This issue is only important, if a station-wise normalisation becomes interesting again. In this case, one need to think about a solution to calculate the metrics on the train data and hold them for all other subsets of the same station.