Add a dedicated pipeline for forecasting

[rtavenar]

A pattern that is often seen in modern forecasting models is:

1. scale the input data
2. predict
3. un-scale the predictions using the statistics computed by the scaler at step 1

I think such a pipeline cannot be implemented using sklearn's Pipeline class alone, so maybe we should ship it with tslearn?