Wind Power Forecast Based on Artificial Bee Colony Algorithm

Xin Zhang; Guo Chu Chen

doi:10.4028/www.scientific.net/AMM.738-739.417

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 738-739Wind Power Forecast Based on Artificial Bee Colony...

Wind Power Forecast Based on Artificial Bee Colony Algorithm

Abstract:

In view of the traditional support vector machine (SVM) model in wind power prediction parameter selection problems, this paper introduced a model which using artificial colony algorithm to seek the optimal parameters of support vector machine. The experimental results show that the SVM model of artificial swarm optimization application and prediction is effective, makes the forecast precision is improved.

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Periodical:

Applied Mechanics and Materials (Volumes 738-739)

Pages:

417-422

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.738-739.417

Citation:

Cite this paper

Online since:

March 2015

Authors:

Xin Zhang, Guo Chu Chen*

Keywords:

Artificial Colony Algorithm, Support Vector Machine (SVM), Wind Power Prediction

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* - Corresponding Author

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