Time Series Forecasting on Australian Electricity Demand
2.925MAPEHyper-TreeNet-AR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Hyper-TreeNet-ARModel Type=Local2024.05 | 2.925 | 2.939 | 2.938 | 160,191.1 | 118,736.9 | — | |
| Hyper-TreeNet-ARRuntime (Minutes)=0.0222024.05 | 2.964 | 2.95 | 2.96 | 163,026.9 | 121,972.3 | 0.886 | |
| LightGBMModel Type=Local2024.05 | 3.067 | 3.076 | 3.081 | 178,666.6 | 137,318.4 | — | |
| AutoARIMAModel Type=Local2024.05 | 3.421 | 3.398 | 3.43 | 199,044.3 | 158,517.8 | — | |
| AutoETSModel Type=Local2024.05 | 3.48 | 3.43 | 3.479 | 177,123.1 | 133,774.5 | — | |
| Deep-ARRuntime (Minutes)=1.2732024.05 | 3.594 | 3.628 | 3.634 | 201,459.5 | 155,123.3 | 1.142 | |
| ChronosRuntime (Minutes)=0.0272024.05 | 3.608 | 3.579 | 3.594 | 189,129.1 | 138,833.2 | 1.049 | |
| Hyper-Tree-ETSModel Type=Local2024.05 | 3.845 | 3.765 | 3.8 | 204,600.1 | 172,143.5 | — | |
| Hyper-Tree-ETSRuntime (Minutes)=0.3552024.05 | 3.954 | 3.885 | 3.92 | 233,281 | 196,350 | 1.331 | |
| Hyper-Tree-ARRuntime (Minutes)=0.0222024.05 | 4.125 | 4.034 | 4.062 | 217,635.7 | 192,981.4 | 1.3 | |
| Hyper-Tree-ARModel Type=Local2024.05 | 4.14 | 4.047 | 4.076 | 218,432.8 | 193,903.3 | — | |
| AutoARIMA-XModel Type=Local2024.05 | 4.146 | 4.048 | 4.134 | 225,535 | 188,831.5 | — | |
| TFTRuntime (Minutes)=2.0152024.05 | 4.607 | 4.544 | 4.594 | 231,271.9 | 191,331.3 | 1.374 | |
| AR-XModel Type=Local2024.05 | 5.166 | 5.014 | 5.035 | 253,778.7 | 222,623.4 | — | |
| LightGBM-ARModel Type=Local2024.05 | 5.232 | 5.086 | 5.148 | 266,541.8 | 237,194.2 | — | |
| ARModel Type=Local2024.05 | 5.291 | 5.129 | 5.151 | 257,965.5 | 224,999.9 | — | |
| LightGBMRuntime (Minutes)=0.0022024.05 | 5.909 | 6.173 | 5.894 | 269,868.1 | 210,619.9 | 1.723 | |
| LightGBM-ARRuntime (Minutes)=0.0022024.05 | 6.086 | 5.872 | 5.976 | 281,027.3 | 254,324.2 | 1.842 | |
| LightGBM-STLModel Type=Local2024.05 | 6.208 | 6.556 | 6.273 | 310,754.9 | 242,870.6 | — |