A hybrid forecasting approach applied to wind speed time series

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Summary

A hybrid forecasting approach, which combines the Ensemble Empirical Mode Decomposition (EEMD) and the Support Vector Machine (SVM), is proposed to improve the quality of wind speed forecasting to show great promise for the forecasting of intricate time series which are intrinsically highly volatile and irregular.

Type
article
Published
2013-12-01
Cited by
209
References
30
Access
Open access

Keywords

Hilbert–Huang transform, Wind speed, Residual, Mode (computer interface), Series (stratigraphy)

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