FU Tonglin.A hybrid wind speed forecasting model based on the ensembleempirical mode decomposition and the support vector machine[J].Journal of Yanbian University,2017,43(03):205-209.
基于集合经验模态分解和支持向量机的短期风速预测模型
- Title:
- A hybrid wind speed forecasting model based on the ensemble empirical mode decomposition and the support vector machine
- Keywords:
- ensemble empirical mode decomposition; wind speed prediction; support vector machine; wavelet transform
- 分类号:
- O212.3; TP391.9
- 文献标志码:
- A
- 摘要:
- 通过构建基于数据预处理的EEMD -SVM混合风速预测模型,预测黄土高原陇东区环县风电场的日平均风速.数值分析结果表明,EEMD -SVM模型的预测精度高于基于离散小波去噪的混合模型DWT-SVM和单个SVM模型的预测精度.
- Abstract:
- In this paper, a hybrid EEMD -SVM model based on data pre-processing technology is established to forecast the daily average wind speed of Huan County wind farms effectively in the Longdong area of Loess Plateau. The numerical results show that the hybrid EEMD -SVM model perform much better than the hybrid models DWT-SVM which based on discrete wavelet transform(DWT)and the single SVM model.
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备注/Memo
收稿日期: 2017-05-14 基金项目: 国家自然科学基金资助项目(71471148)
作者简介: 付桐林(1977—),男,副教授,研究方向为应用概率统计、数据处理与智能计算.