重庆理工大学学报（自然科学版）2013，Vol.27Issue(8)：85-89,5.DOI:10.3969/j.issn.1674-8425(z).2013.08.018
应用双支持向量回归机的风速预测模型
A Wind Speed Forecasting Model Based on Twin Support Vector Regression
摘要
Abstract
Wind speed plays an important role on wind farm power output,but because the wind speed has a strong randomness,prediction accuracy is not high.To solve this problem,using twin support vector regression (TSVR) and based on actual wind speed data measured in a certain wind farm,a wind speed predicting model based on TSVM is built.In this paper,related parameters of the model are given.The proposed wind speed model is compared with wind speed model based on standard support vector regression (SVR).Comparison results indicate that the proposed wind speed predicting model is better than the model based on SVM.It provides reference value for wind farm wind speed prediction.关键词
风速预测/双支持向量回归机/支持向量回归机/风电场Key words
wind speed forecasting/ twin support vector regression/ support vector regression/wind farm分类
能源科技引用本文复制引用
宋亮,杨志霞,刘芳..应用双支持向量回归机的风速预测模型[J].重庆理工大学学报（自然科学版）,2013,27(8):85-89,5.基金项目
国家自然科学基金资助项目(11161045) （11161045）
