DocumentCode
1840932
Title
Research of Wind Power Prediction Model Based on RBF Neural Network
Author
Wu Kehe ; Yuan Yue ; Cheng Bohao ; Wu Jinshui
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2013
fDate
21-23 June 2013
Firstpage
237
Lastpage
240
Abstract
In this paper, we research on the wind power prediction method to identify a viable and stable way of predictive modeling applications, namely neural network modeling method. After giving the analysis of wind power generation characteristics, we find the most important impact factor of wind power by the grey relational method. With RBF neural network and actual monitoring data as sample data, finally we design and implement of wind power prediction system, which has a certain practical value.
Keywords
power engineering computing; radial basis function networks; wind power plants; RBF neural network; grey relational method; wind power generation characteristics; wind power prediction model; Correlation; Predictive models; Wind forecasting; Wind power generation; Wind speed; RBF neural network; prediction system; wind power prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.70
Filename
6642985
Link To Document