Spatio-temporal traffic prediction on Milan cellular network traffic T = 144
0.238MSEDP-LET
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DP-LETPrediction Horizon=24-hour2025.04 | 0.238 | 0.333 | |
| PatchTSTPrediction Horizon=24-hour2025.04 | 0.249 | 0.35 | |
| TimeMixerPrediction Horizon=24-hour2025.04 | 0.255 | 0.347 | |
| iTransformerPrediction Horizon=24-hour2025.04 | 0.256 | 0.346 | |
| DLinearPrediction Horizon=24-hour2025.04 | 0.335 | 0.447 | |
| TimesNetPrediction Horizon=24-hour2025.04 | 0.341 | 0.41 | |
| FEDformerPrediction Horizon=24-hour2025.04 | 0.408 | 0.485 | |
| AutoformerPrediction Horizon=24-hour2025.04 | 0.443 | 0.513 | |
| CrossformerPrediction Horizon=24-hour2025.04 | 0.646 | 0.611 | |
| InformerPrediction Horizon=24-hour2025.04 | 0.749 | 0.654 |