Normalize data with extreme outliers for forecasting
Play a bit with your data:

try doing the scaling without these outliers and see what happens
have you tried training the model regardless and see what happens? then train the model without the &quot;outliers&quot;
you could also binarise the feature (and thus transform it into a category) - then in this case you don't have to deal with the large range while the information is still in there.