60 day-ahead forecasting on PM10 in Mumbai (NOV-DEC)
19.11MAETrans.
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Trans.Model Type=Temporal Model2026.05 | 19.11 | 27.53 | 1.17 | 15.12 | 14.33 | 14.51 | |
| GCSVRModel Type=Proposed2026.05 | 31.48 | 38.51 | 1.65 | 23.34 | 15.83 | 24.44 | |
| GpGpModel Type=Spatio-Temporal Model2026.05 | 34.07 | 40.55 | 1.77 | 27.31 | 17.04 | 26.13 | |
| NBeatsModel Type=Temporal Model2026.05 | 36.15 | 45.91 | 0.82 | 29.8 | 23.48 | 25.73 | |
| ARIMAModel Type=Temporal Model2026.05 | 37.14 | 43.72 | 1.98 | 30.35 | 26.91 | 27.38 | |
| STGCNModel Type=Spatio-Temporal Model2026.05 | 39.93 | 46.95 | 1.12 | 33.03 | 27.91 | 29.66 | |
| DeepARModel Type=Temporal Model2026.05 | 57.99 | 65.12 | 3.03 | 53.44 | 11.21 | 47.59 | |
| LSTMModel Type=Temporal Model2026.05 | 62.43 | 70.69 | 3.27 | 60.69 | 31.21 | 48.3 | |
| GSTARModel Type=Spatio-Temporal Model2026.05 | 68.4 | 76.11 | 3.63 | 67.63 | 34.2 | 53.46 | |
| STARMAModel Type=Spatio-Temporal Model2026.05 | 73.8 | 81.23 | 3.86 | 74.3 | 36.9 | 50.64 |