Estimation of wind power generation using neural networks
Joint Authors
Source
Issue
Vol. 2009, Issue 1 (30 Nov. 2009), pp.89-93, 5 p.
Publisher
Publication Date
2009-11-30
Country of Publication
Algeria
No. of Pages
5
Main Subjects
Topics
Abstract EN
This paper uses data collected by weather stations to develop a neural network solution for extrapolation of wind speeds at heights ranging.
Work aims to improve the foundations for a prediction of a wind profile of quality, at short and long terms.
This paper begins with a comparison between different actual methods of extrapolation wind speed, and then describes an artificial neural network (ANN) approach for the vertical wind speed extrapolation.
The outputs of models are compared with the real measured data so the results show a significant improvement.
We conclude with the improvement of results when the assumed SISO (single-input-single-output) system is considered as a non-linear multi variable system.
American Psychological Association (APA)
Cheggaga, N.& Ettoumi, F. Yusuf. 2009. Estimation of wind power generation using neural networks. Journal of Electrical Systems،Vol. 2009, no. 1, pp.89-93.
https://search.emarefa.net/detail/BIM-291346
Modern Language Association (MLA)
Cheggaga, N.& Ettoumi, F. Yusuf. Estimation of wind power generation using neural networks. Journal of Electrical Systems No. 1 (Nov. 2009), pp.89-93.
https://search.emarefa.net/detail/BIM-291346
American Medical Association (AMA)
Cheggaga, N.& Ettoumi, F. Yusuf. Estimation of wind power generation using neural networks. Journal of Electrical Systems. 2009. Vol. 2009, no. 1, pp.89-93.
https://search.emarefa.net/detail/BIM-291346
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 93
Record ID
BIM-291346