Forecasting on Synthetic dataset 10 systems, 20 input steps, 1 step horizon (test)
0.241RMSEInformer
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| InformerESE integration=With ESE2026.06 | 0.241 | 0.232 | 0.4 | |
| InformerESE integration=No ESE2026.06 | 0.244 | 0.236 | 1.69 | |
| ARIMAESE integration=With ESE2026.06 | 0.247 | 0.243 | 0.24 | |
| ESEESE integration=ESE Alone2026.06 | 0.248 | 0.228 | 0.23 | |
| ARIMAESE integration=No ESE2026.06 | 0.249 | 0.243 | 0.09 | |
| DlinearESE integration=No ESE2026.06 | 0.256 | 0.221 | 2.93 | |
| LSTMESE integration=No ESE2026.06 | 0.263 | 0.216 | 2.47 | |
| LSTMESE integration=With ESE2026.06 | 0.263 | 0.212 | 0.48 | |
| PatchTSTESE integration=No ESE, model_variant=PatchTST/642026.06 | 0.263 | 0.224 | 1.84 | |
| DlinearESE integration=With ESE2026.06 | 0.264 | 0.221 | 0.52 | |
| PatchTSTESE integration=With ESE, model_variant=PatchTST/642026.06 | 0.265 | 0.224 | 0.41 | |
| DeepARESE integration=No ESE2026.06 | 0.271 | 0.218 | 2.29 | |
| DeepARESE integration=With ESE2026.06 | 0.271 | 0.21 | 0.53 |