Probabilistic Forecasting on elec
6ND%C2FAR-RNN3
Evaluation results
| Method | Links | ||
|---|---|---|---|
| C2FAR-RNN3Implementation Source=Our Implementation2023.12 | 6 | 4.76 | |
| C2FAR-RNN2Implementation Source=Our Implementation2023.12 | 6.09 | 4.83 | |
| C2FAR-RNN1Implementation Source=Our Implementation2023.12 | 6.14 | 4.87 | |
| DeepAR-StudentTImplementation Source=[51]2023.12 | 6.95 | 5.71 | |
| Seasonal-naïveImplementation Source=Our Implementation2023.12 | 6.97 | 6.97 | |
| DeepAR-GaussianImplementation Source=Our Implementation2023.12 | 7.05 | 5.6 | |
| IQN-RNNImplementation Source=[30]2023.12 | 7.4 | — | |
| DeepAR-StudentTImplementation Source=[30]2023.12 | 7.8 | — | |
| DeepAR-BinnedImplementation Source=[51]2023.12 | 8.21 | 6.47 | |
| ETSImplementation Source=Our Implementation2023.12 | 8.61 | 8.4 | |
| SQF-RNNImplementation Source=[30]2023.12 | 9.7 | — | |
| NaïveImplementation Source=Our Implementation2023.12 | 40.8 | 40.8 |