| 摘要: |
| 结合混沌的相空间重构理论和LS SVM的优点，提出了一种基于混沌LS SVM风功率预测方法，利用误差评价函数形成反馈机制，通过误差反馈建立参数合理的风功率预测模型；通过对实际数据的仿真，结果表明所提出的混沌LS SVM预测模型有较好的非线性拟合能力，有较高的预测精度。 |
| 关键词: 混沌 LS SVM 风功率预测 相空间重构 |
| DOI： |
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| Short term Wind Power Forecasting Based on Chaotic LS SVM |
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QIU Jie, PEI Rui ping, ZHANG An chuan, LI Kan
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| Abstract: |
| In combination of phase space reconstruction theory and the advantage of LS SVM, this paper proposes a kind of forecasting method for wind power based on chaotic LS SVM, making use of the feedback mechanism of error evaluation function. By the feed back mechanism, wind power model with reasonable parameters is designed. The simulation results show that the proposed forecasting model has better nonlinear fitting capability and more precise forecasting. |
| Key words: chaotic LS SVM wind power forecasting phase space reconstruction |
