90-day ahead forecasting on PM10 in Delhi APR–MAY–JUN
55.08MAEGCSVR
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GCSVRModel Type=Proposed, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 55.08 | 75.6 | 1.23 | 32.26 | 27.54 | 45.16 | |
| Trans.Model Type=Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 65.89 | 88.02 | 1.39 | 38.7 | 43.33 | 96.81 | |
| GpGpModel Type=Spatio-Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 68.75 | 86.74 | 1.48 | 42.5 | 38.58 | 92.48 | |
| ARIMAModel Type=Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 69.36 | 85.71 | 1.49 | 40 | 33.59 | 89.98 | |
| NBeatsModel Type=Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 69.75 | 95.17 | 1.47 | 42.4 | 52.72 | 104.82 | |
| STGCNModel Type=Spatio-Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 72.4 | 86.75 | 1.56 | 41.43 | 27.46 | 89.62 | |
| GSTARModel Type=Spatio-Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 123.69 | 144.79 | 2.62 | 112.2 | 98.34 | 110.55 | |
| STARMAModel Type=Spatio-Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 150.98 | 169.22 | 3.2 | 152.9 | 120.78 | 110.78 | |
| DeepARModel Type=Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 155.56 | 174.06 | 3.29 | 154 | 124.44 | 111.26 | |
| LSTMModel Type=Temporal Model, Forecasting Horizon=90-day, Averaging Protocol=Across all monitoring stations2026.05 | 162.31 | 180.11 | 3.45 | 169.5 | 129.85 | 111.26 |