Paper:MCformer: Multivariate Time Series Forecasting With Mixed-Channels Transformer
- Install Pytorch and necessary dependencies.
pip install -r requirements.txt
If you find this repo helpful, please cite our paper.
@ARTICLE{10533212,
author={Han, Wenyong and Zhu, Tao and Chen, Liming and Ning, Huansheng and Luo, Yang and Wan, Yaping},
journal={IEEE Internet of Things Journal},
title={MCformer: Multivariate Time Series Forecasting With Mixed-Channels Transformer},
year={2024},
volume={11},
number={17},
pages={28320-28329},
keywords={Time series analysis;Forecasting;Predictive models;Data models;Internet of Things;Correlation;Transformers;Long time series;multivariate time series;self-attention;time series forecasting},
doi={10.1109/JIOT.2024.3401697}}
We appreciate the following GitHub repos a lot for their valuable code and efforts.
- Reformer (https://github.com/lucidrains/reformer-pytorch)
- Informer (https://github.com/zhouhaoyi/Informer2020)
- Autoformer (https://github.com/thuml/Autoformer)
- Stationary (https://github.com/thuml/Nonstationary_Transformers)
- Time-Series-Library (https://github.com/thuml/Time-Series-Library)
- PatchTST (https://github.com/yuqinie98/PatchTST)