Table 9 RMSE values 1 and up to 6 months ahead of all the models employed in the present study.
From: Evolution and forecasting of PM10 concentration at the Port of Gijon (Spain)
Model and variables number | RMSE | |
|---|---|---|
One month ahead | Up to 6 months ahead | |
ARIMA | 6.3162 | 7.6312 |
VARMA (p = 4 q = 2) 4 variables | 10.1021 | 11.4189 |
VARMA (p = 4 q = 1) 4 variables | 10.5529 | 11.7214 |
VARMA (p = 2 q = 1) 4 variables | 10.6211 | 11.7832 |
VARMA (p = 1 q = 2) 4 variables | 10.7767 | 11.8007 |
VARMA (p = 4 q = 2) 6 variables | 8.5767 | 10.8202 |
VARMA (p = 4 q = 1) 6 variables | 9.2802 | 11.0743 |
VARMA (p = 2 q = 1) 6 variables | 9.5173 | 11.4786 |
VARMA (p = 1 q = 2) 6 variables | 9.7252 | 11.9347 |
MLP 4 variables | 4.6209 | 6.2661 |
MLP 6 variables | 4.3402 | 6.0873 |
SVMR 4 variables | 4.9249 | 6.1191 |
SVMR 6 variables | 4.2649 | 6.1010 |
MARS 4 variables | 8.2575 | 8.7319 |
MARS 6 variables | 6.7605 | 6.8725 |
