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Table 6 Analysis of the proposed prediction model with different forecast horizons

From: Accurate prediction of different forecast horizons wind speed using a recursive radial basis function neural network

S. No

Different Forecast Horizons

Performance Metrics

Parametric Values

1

Very Short Term Prediction (Few seconds to minutes ahead)

MSE

4.0054e-07

MAPE

0.0102

RMSE

6.3288e-04

MAE

5.4564e-04

MRE

1.0160e-04

2

Short Term Prediction (30 min to 6 h ahead)

MSE

4.6131e-11

MAPE

5.5382e-05

RMSE

6.7920e-06

MAE

4.4137e-06

MRE

5.5382e-07

3

Medium Term Prediction (6 h to ahead)

MSE

1.5857e-11

MAPE

6.6481e-05

RMSE

3.9820e-06

MAE

2.8847e-06

MRE

6.6481e-07

4

Long Term Prediction (1 day to 1 week or more ahead)

MSE

1.6166e-12

MAPE

1.0165e-05

RMSE

1.2715e-06

MAE

8.2352e-07

MRE

1.0165e-07