Time Series Forecasting on Energy (MASE, sMAPE, RMSE)
0.573MASEXGBoost
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| XGBoostregime=supervised, model=histogram-based trees2026.05 | 0.573 | 25.85 | 1.187 | |
| LSTMregime=supervised2026.05 | 0.836 | 32.18 | 1.7 | |
| PatchTSTregime=supervised, temporal covariates=False2026.05 | 0.856 | 34.94 | 2.114 | |
| DLinearregime=supervised, temporal covariates=False2026.05 | 0.927 | 34.83 | 2.22 | |
| TFM 2.5regime=zero-shot, parameters=200M, normalize_inputs=True2026.05 | 1.046 | 33.7 | 2.95 | |
| Chronosregime=zero-shot, backbone=T5-Base, parameters=200M2026.05 | 1.102 | 37.18 | 2.907 | |
| TFM 2.0regime=zero-shot, parameters=500M, context length=20482026.05 | 2.576 | 56.36 | 2.887 |