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Title: Wind power station wind speed prediction method based on wavelet analysis and system thereof
Other Titles: 基于小波分析的风电场风速预测方法及系统
Authors: Dong, CY 
Huang, JB 
Meng, K 
Issue Date: 30-May-2012
Publisher: 中华人民共和国国家知识产权局
Source: 中国专利 ZL 201010560929.1 How to cite?
Abstract: The invention relates to a wind power station wind speed prediction method based on wavelet analysis and a system thereof. The method comprises the following steps: according to a specific prediction time interval, determining an input and an output variable of a prediction model; reading a historical wind speed value and correcting an incomplete point in the historical wind speed value so as to acquire a training sample value sequence of a wind speed prediction model; carrying out rapid wavelet decomposition to the training sample value sequence so as to acquire an approximation detail component value sequence; establishing the wind speed prediction model according to the approximation detail component value sequence so as to carry out the wind speed prediction. According to the wind power station wind speed prediction method based on the wavelet analysis and the system of the invention, through the wavelet decomposition, the training sample value sequence is decomposed into different layers according to a scale so that a trend term, a period term and a random term are separated. Each layer is individually analyzed and predicted and finally the corresponding prediction value can be obtained through reconstruction. By using the method, any prediction interval can be selected according to different demands. The wind speed prediction which is many steps ahead and has high precision can be performed.
Rights: 专利权人: The Hong Kong Polytechnic University.
Appears in Collections:Patent

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