Time Series Forecasting On Etth2 24 2
评估指标
MAE
MSE
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | |||
|---|---|---|---|---|
| Transformer | 0.2479 | 0.0999 | Long-term series forecasting with Query Selector -- efficient model of sparse attention | |
| QuerySelector | 0.2239 | 0.0843 | Long-term series forecasting with Query Selector -- efficient model of sparse attention | |
| Informer | 0.213 | 0.083 | Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | |
| SRCNet | 0.193 | - | A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting | - |
| SCINet | 0.183 | 0.065 | SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction |
0 of 5 row(s) selected.