An attention-based deep learning model for multi-horizon time series forecasting by considering periodic characteristic
Recently, transformer-based models have exhibited great performance in multi-horizon time series forecasting tasks. However, the core module of these models, the self-attention mechanism, is insensitive to the temporal order and suffers from attention dispersion over long time sequences. These limit...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| 格式: | Article |
| 出版: |
Elsevier Ltd
2023
|
| 主题: | |
| 在线阅读: | http://eprints.utm.my/106425/ http://dx.doi.org/10.1016/j.cie.2023.109667 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
成为第一个发表评论!