The Application of Entropy Method in Wind Power Combined Prediction

Abstract:

A new combined method of wind power prediction based on entropy method is proposed according to information fusion technique. Firstly, Carry out the wind-power forecast with BP neural network, radial basis function neural network and support vector machine respectively. Then, weights of combination forecasting can be obtained according to the degree of variation of prediction error sequence. Case study was carried out to investigate the validity of the novel algorithm and the results illustrated that the proposed combined model can improve the short term forecasting accuracy of wind power effectively by tracking the change of wind power.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 3043-3046
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.3043
• Online since: August 2014
• Authors: Kang Ping Li*
• Keywords: Combination Forecasting, Entropy Method, Wind Power

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