60 day-ahead forecasting on PM10 in Mumbai (MAR-APR)
28.35MAETrans.
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Trans.Model Type=Temporal Model2026.05 | 28.35 | 33.26 | 1.63 | 27.5 | 9.58 | 19.49 | |
| ARIMAModel Type=Temporal Model2026.05 | 32.69 | 39.3 | 1.58 | 30.66 | 13.55 | 24.82 | |
| GCSVRModel Type=Proposed2026.05 | 32.85 | 40.66 | 1.63 | 31.8 | 16.94 | 25.09 | |
| GpGpModel Type=Spatio-Temporal Model2026.05 | 34.19 | 40.78 | 1.75 | 32.36 | 17.1 | 26.27 | |
| NBeatsModel Type=Temporal Model2026.05 | 34.82 | 43.95 | 0.75 | 32.25 | 13.87 | 24.58 | |
| GSTARModel Type=Spatio-Temporal Model2026.05 | 43.04 | 52.68 | 2.14 | 46.59 | 21.52 | 31.8 | |
| STARMAModel Type=Spatio-Temporal Model2026.05 | 45.9 | 55.74 | 2.27 | 48.87 | 22.95 | 33.01 | |
| DeepARModel Type=Temporal Model2026.05 | 46.66 | 57.02 | 2.31 | 50.78 | 9.26 | 37.62 | |
| LSTMModel Type=Temporal Model2026.05 | 52.03 | 62.97 | 2.58 | 60.83 | 26.01 | 37.55 | |
| STGCNModel Type=Spatio-Temporal Model2026.05 | 160.98 | 202.37 | 4.13 | 115.5 | 82.52 | 114.6 |