Time series forecasting on Electricity Weekly (Median RMSE)
6,926.87Median RMSEAdaptive MoE
Evaluation results
| Method | Links | |
|---|---|---|
| Adaptive MoEFramework=PyTorch2026.05 | 6,926.87 | |
| TBATS2026.05 | 7,278.04 | |
| FFNNFramework=GluonTS2026.05 | 7,309.85 | |
| CatBoost2026.05 | 7,338.99 | |
| N-BEATS2026.05 | 7,538.09 | |
| ARIMA2026.05 | 7,893.41 | |
| PR2026.05 | 8,237.57 | |
| Transformer2026.05 | 9,039.29 | |
| DeepAR2026.05 | 9,743.24 | |
| WaveNet2026.05 | 9,942.24 | |
| Theta2026.05 | 11,805.76 | |
| SES2026.05 | 12,460.16 | |
| ETS2026.05 | 12,460.16 |