Modeling wind-turbine power curve: A data partitioning and mining approach
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- 作者：Tinghui Ouyanga ; thouyang@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Andrew Kusiakb ; andrew-kusiak@uiowa.edu" class="auth_mail" title="E-mail the corresponding author ; Yusen Heb ; yusen-he@uiowa.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wind turbine power curve ; Partition centers ; Data mining ; Support vector machine
- 刊名：Renewable Energy
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：102
- 期：part_PA
- 页码：1-8
- 全文大小：1932 K
文摘
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A model of wind power curve is developed from industrial data.
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Wind power and speed data is clustered.
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Support vector machine algorithm is applied to construct the model.
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The model captures dynamic behavior of the wind turbine.
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Computational results demonstrate effectiveness of the proposed approach.