Multi-Step-Ahead Forecasting of Wind Speed Based on EMD-RBF Model

Abstract:

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Wind speed forecasting is critical for wind energy conversion systems. Adaptive and reliable methods and techniques of wind speed forecasting are urgently needed in view of the stochastic nature of wind resource, which is varying from time to time and from site to site. Multi-step-ahead speed forecasting is built with empirical mode decomposition (EMD) method and RBF neural network, which makes use of non-linear and non-stationary signal characteristics. Time series of original wind speed data is decomposed by EMD method. And RBF neural network is used to predict the decomposition of the various components. Experimental results show that the method effectively improves the accuracy and the reliability of wind speed forecasting.

Info:

Periodical:

Advanced Materials Research (Volumes 347-353)

Edited by:

Weiguo Pan, Jianxing Ren and Yongguang Li

Pages:

2219-2222

DOI:

10.4028/www.scientific.net/AMR.347-353.2219

Citation:

D. F. Wang et al., "Multi-Step-Ahead Forecasting of Wind Speed Based on EMD-RBF Model", Advanced Materials Research, Vols. 347-353, pp. 2219-2222, 2012

Online since:

October 2011

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Price:

$35.00

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