A Hybrid Approach for Short-Term Forecasting of Wind Speed

We propose a hybrid method for forecasting the wind speed. The wind speed data is first decomposed into intrinsic mode functions (IMFs) with empirical mode decomposition. Based on the partial autocorrelation factor of the individual IMFs, adaptive methods are then employed for the prediction of IMFs...

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Veröffentlicht in:	TheScientificWorld Jg. 2013; H. 2013; S. 1 - 8
Hauptverfasser:	Tatinati, Sivanagaraja, Veluvolu, Kalyana C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2013 John Wiley & Sons, Inc Wiley
Schlagworte:	Algorithms Alternative energy sources Autoregressive models Correlation coefficients Decomposition Forecasting Forecasting - methods Indexing in process Kalman filters Least-Squares Analysis Meteorology Models, Statistical Models, Theoretical Regression Analysis Support Vector Machine Support vector machines Wind Wind speed
ISSN:	2356-6140, 1537-744X, 1537-744X
Online-Zugang:	Volltext
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