30-day ahead forecasting on PM10 in Delhi AUG
30.6MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Category=Proposed2026.05 | 30.6 | 0.67 | 38.89 | 26.72 | 15.3 | 28.81 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 42.14 | 1.9 | 51.87 | 32.29 | 18.73 | 58.65 | |
| NBeatsModel Category=Temporal Model2026.05 | 47 | 2.03 | 59.81 | 39.2 | 35.18 | 68.49 | |
| Trans.Model Category=Temporal Model2026.05 | 48.29 | 2.23 | 56.02 | 37.2 | 16.72 | 60.84 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 60.04 | 2.88 | 69.23 | 43.1 | 15.76 | 67.32 | |
| ARIMAModel Category=Temporal Model2026.05 | 60.84 | 2.86 | 69.72 | 42.6 | 14.02 | 67.48 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 71.27 | 3.16 | 87.31 | 71.8 | 56.8 | 79.02 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 84.91 | 3.8 | 97.19 | 94.8 | 67.91 | 78.59 | |
| DeepARModel Category=Temporal Model2026.05 | 105.64 | 4.73 | 113.71 | 138.4 | 84.51 | 77.86 | |
| LSTMModel Category=Temporal Model2026.05 | 108.73 | 4.88 | 116.57 | 146.7 | 86.98 | 77.86 |