This repo is the Pytorch implementation of our submitted paper to ICLR 2025: Evolving Multi-Scale Normalization for Time Series Forecasting Under Distribution Shifts
pip install -r requirements.txt
mkdir datasets
All the 9 datasets are available at the Google Driver provided by Autoformer. Many thanks to their efforts and devotion!
We provide ready-to-use scripts for EvoMSN enhanced online forecasting and MSN enhanced offline forecasting.
sh run_<model_name>.sh
This repo is built on the pioneer works. We appreciate the following GitHub repos a lot for their valuable code base or datasets: