Wind Power Forecast Based on Artificial Bee Colony Algorithm

Wind Power Forecast Based on Artificial Bee Colony Algorithm

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 art...

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Veröffentlicht in:Applied Mechanics and Materials 2015-03, Vol.738-739 (Sensors, Measurement, Intelligent Materials and Technologies III), p.417-422
Hauptverfasser: Zhang, Xin, Chen, Guo Chu
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Colonies
Materials selection
Mathematical models
Optimization
Support vector machines
Swarm intelligence
Wind power
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Zusammenfassung: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.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.738-739.417