I'm not sure if you are looking for additional papers, but RevIN has been found to improve forecasting among many different kinds of models. It's a pretty simple addition where you normalize before the forward pass and then denormalize afterwards.

Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift
repo