60 day-ahead forecasting on PM10 in Mumbai (MAY-JUN)
26.83MAEGSTAR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GSTARModel Type=Spatio-Temporal Model2026.05 | 26.83 | 34.9 | 1.32 | 34.19 | 13.41 | 20.13 | |
| GCSVRModel Type=Proposed2026.05 | 26.84 | 35.29 | 1.32 | 35.66 | 15.08 | 22.85 | |
| STARMAModel Type=Spatio-Temporal Model2026.05 | 28.28 | 36.19 | 1.41 | 36.62 | 14.14 | 24 | |
| NBeatsModel Type=Temporal Model2026.05 | 29.19 | 41.17 | 0.63 | 38.87 | 18.4 | 21.84 | |
| DeepARModel Type=Temporal Model2026.05 | 32.98 | 42.04 | 1.6 | 43.94 | 17.62 | 24.07 | |
| LSTMModel Type=Temporal Model2026.05 | 35.48 | 45.63 | 1.74 | 48.81 | 17.74 | 23.01 | |
| STGCNModel Type=Spatio-Temporal Model2026.05 | 43.56 | 50.6 | 1.14 | 51.02 | 12.11 | 31.81 | |
| ARIMAModel Type=Temporal Model2026.05 | 46.05 | 51.15 | 2.25 | 53.31 | 11.54 | 30.45 | |
| GpGpModel Type=Spatio-Temporal Model2026.05 | 50.77 | 55.98 | 2.6 | 57.49 | 25.39 | 33.8 | |
| Trans.Model Type=Temporal Model2026.05 | 60.54 | 63.76 | 3.47 | 70.52 | 12.2 | 49.29 |