30-day ahead forecasting on PM10 in Delhi SEPT
33.31MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Category=Proposed2026.05 | 33.31 | 0.77 | 40.63 | 32.87 | 16.66 | 28.91 | |
| GSTARModel Category=Spatio-Temporal Model2026.05 | 47.63 | 2.9 | 58.86 | 46.6 | 24.25 | 64.31 | |
| STARMAModel Category=Spatio-Temporal Model2026.05 | 48.3 | 2.95 | 60.46 | 48.5 | 26.92 | 65.91 | |
| Trans.Model Category=Temporal Model2026.05 | 52.34 | 3.08 | 63.62 | 46.5 | 13.99 | 62.09 | |
| GpGpModel Category=Spatio-Temporal Model2026.05 | 66.26 | 3.91 | 78.06 | 53.7 | 14.97 | 69.96 | |
| NBeatsModel Category=Temporal Model2026.05 | 68.16 | 3.89 | 81.38 | 53.4 | 14.91 | 69.93 | |
| ARIMAModel Category=Temporal Model2026.05 | 82.97 | 4.6 | 94.06 | 60.7 | 16.86 | 78.86 | |
| STGCNModel Category=Spatio-Temporal Model2026.05 | 89.7 | 5.15 | 101.05 | 63.63 | 19.36 | 84.24 | |
| DeepARModel Category=Temporal Model2026.05 | 91.22 | 5.59 | 101.53 | 126.7 | 72.92 | 70.71 | |
| LSTMModel Category=Temporal Model2026.05 | 92.66 | 5.68 | 102.86 | 130.7 | 74.08 | 70.71 |