中国电机工程学报2012，Vol.32Issue(4)：35-41,7.
基于相似数据的支持向量机短期风速预测仿真研究
Short-term Wind Speed Forecasting Based on Support Vector Machine With Similar Data
摘要
Abstract
Wind power prediction is an effective way to decrease the effects for the large-scale wind power connecting to grid.Improving accuracy of short-term wind prediction is key of wind power prediction.In this paper,a support vector machine（SVM） method was proposed based on wavelet analysis and similar data.Similar data were extracted from large amounts of data to create the training samples.The original wind speed data was decomposed into trend signal of low frequency band and random signal of high frequency band by wavelet decomposition.Different SVM speed forecasting models were trained respectively and combined to obtain forecasting results.The simulation experiments show that similar data effectively improve the relevance of data.SVM models better approximate the wind speed characteristics of low and high frequency band by wavelet decomposition and prediction accuracy is improved.By validation with the measured wind speed data of a wind farm,the model has generalization capability and good run time for meeting requirement of engineering application.关键词
风速/短期预测/相似数据/小波分析/支持向量机Key words
wind speed/short-term prediction/similar data/wavelet analysis/support vector machine（SVM）分类
信息技术与安全科学引用本文复制引用
杨锡运,孙宝君,张新房,李利霞..基于相似数据的支持向量机短期风速预测仿真研究[J].中国电机工程学报,2012,32(4):35-41,7.基金项目
国家自然科学基金项目(61074094) （61074094）
教育部科学技术研究重点项目(109045) （109045）
中央高校基本科研业务费专项资金项目(10MG28 09MG18 09QG31) （10MG28 09MG18 09QG31）
