Before revision:  Through systematic experiments  , we found that deep learning models fail to forecast under shifted distributions either in the data domain or the parameter domain.
After revision:  Through systematic experiments , we found that deep learning models fail to forecast well under both scenarios. While much research on distribution shift has focused on changes in the data domain or the parameter domain.