An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting
Author
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-19
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
An accurate forecasting method for power generation of the wind energy conversion system (WECS) is urgently needed under the relevant issues associated with the high penetration of wind power in the electricity system.
This paper proposes a hybrid method that combines orthogonal least squares (OLS) algorithm and genetic algorithm (GA) to construct the radial basis function (RBF) neural network for short-term wind power forecasting.
The RBF neural network is composed of three-layer structures, which contain the input, hidden, and output layers.
The OLS algorithm is used to determine the optimal number of nodes in a hidden layer of RBF neural network.
With an appropriate RBF neural network structure, the GA is then used to tune the parameters in the network, including the centers and widths of RBF and the connection weights in second stage.
To demonstrate the effectiveness of the proposed method, the method is tested on the practical information of wind power generation of a WECS installed in Taichung coast of Taiwan.
Comparisons of forecasting performance are made to the persistence method and back propagation neural network.
The good agreements between the realistic values and forecasting values are obtained; the test results show the proposed forecasting method is accurate and reliable.
American Psychological Association (APA)
Chang, Wen-Yeau. 2013. An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-512448
Modern Language Association (MLA)
Chang, Wen-Yeau. An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting. Journal of Applied Mathematics No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-512448
American Medical Association (AMA)
Chang, Wen-Yeau. An RBF Neural Network Combined with OLS Algorithm and Genetic Algorithm for Short-Term Wind Power Forecasting. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-512448
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512448