Time Series Forecasting on Power Consumption (Detailed Metrics)
64.1Improvement Rate (%)AutoDA
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AutoDAInput length=12, Output lengths=3, 6, 9, 122026.05 | 64.1 | -5.42 | 4.32 | 36.1 | 4.22 | 35.2 | 3.88 | 31.3 | 0.312 | 1.31 | 0.469 | 2.42 | 0.37 | 1.52 | 0.391 | 1.68 | 0.57 | 3.4 | |
| ReAugmentInput length=12, Output lengths=3, 6, 9, 122026.05 | 54.7 | 3.61 | 4.64 | 35.8 | 4.56 | 35.3 | 4.47 | 34.5 | 0.453 | 1.94 | 0.37 | 1.81 | 0.411 | 1.68 | 0.644 | 3.16 | 0.503 | 2.9 | |
| TimeVAEInput length=12, Output lengths=3, 6, 9, 122026.05 | 51.6 | 7.52 | 4.72 | 36.5 | 4.51 | 35.1 | 4.37 | 34 | 0.475 | 2.02 | 0.462 | 2.41 | 0.435 | 1.7 | 0.709 | 4.02 | 0.342 | 1.62 | |
| Diffusion-TSInput length=12, Output lengths=3, 6, 9, 122026.05 | 46.9 | -1.62 | 5.03 | 39.2 | 4.82 | 38 | 4.86 | 38.2 | 0.336 | 1.42 | 0.387 | 1.95 | 0.344 | 1.55 | 0.401 | 1.76 | 0.48 | 2.81 | |
| DAD4TSInput length=12, Output lengths=3, 6, 9, 122026.05 | 43.8 | 2.82 | 5.09 | 40.8 | 5.71 | 43.2 | 5.41 | 42.4 | 0.344 | 1.4 | 0.435 | 2.22 | 0.323 | 1.39 | 0.429 | 2.26 | 0.554 | 3.11 | |
| DiffATInput length=12, Output lengths=3, 6, 9, 122026.05 | 42.2 | 2.09 | 4.8 | 37.5 | 4.59 | 35.8 | 4.48 | 34.5 | 0.429 | 1.77 | 0.406 | 2.09 | 0.348 | 1.54 | 0.569 | 3.06 | 0.452 | 2.18 | |
| SMFGInput length=12, Output lengths=3, 6, 9, 122026.05 | 40.6 | 10.4 | 4.75 | 37 | 5.11 | 41.6 | 4.36 | 33.5 | 0.328 | 1.39 | 0.575 | 3.29 | 0.39 | 1.68 | 0.711 | 4.23 | 0.638 | 5.31 | |
| TimeGANInput length=12, Output lengths=3, 6, 9, 122026.05 | 37.5 | 15.2 | 5.03 | 40.5 | 5.99 | 47.7 | 4.74 | 38.1 | 0.379 | 1.55 | 0.463 | 2.44 | 0.397 | 1.74 | 0.736 | 3.75 | 0.552 | 3.5 | |
| baselineInput length=12, Output lengths=3, 6, 9, 122026.05 | 0 | 0 | 4.71 | 36.6 | 4.58 | 35.7 | 4.51 | 34.9 | 0.342 | 1.46 | 0.398 | 1.95 | 0.394 | 1.51 | 0.688 | 3.95 | 0.529 | 2.95 |