Short-term wind speed forecast of wind farm based on V-system and LSSVM

doi:10.1109/IPEMC.2012.6259171

	Short-term wind speed forecast of wind farm based on V-system and LSSVM
	Wang, Xiao-Lan; Chen, Qian-Cheng
	2012
会议名称	2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
会议录名称	Conference Proceedings - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
卷号	3
页码	2113-2117
会议日期	June 2, 2012 - June 5, 2012
会议地点	Harbin, China
出版者	IEEE Computer Society
摘要	V-system of degree k is a new class of complete orthogonal function system in L2[0,1]. A wind speed forecasting method based on V-system and least square support vector machine (LSSVM) is proposed in this paper. Grouping the wind speed time series, and then using linear discrete V-system to decompose each group of data. The decomposition coefficient vectors of each group of data in frequency domain are obtained. The different LSSVM models to forecast decomposition coefficients in the same frequency band are established. The forecasting decomposition coefficient vectors are reconstructed by the inverse V-system transform to get forecasting wind speed. The simulation experiment shows the prediction accuracy is improved considerably. © 2012 IEEE.
关键词	Electric utilities Forecasting Frequency domain analysis Least squares approximations Motion control Orthogonal functions Power control Power electronics Speed Support vector machines Time series Vectors Wind power Decomposition coefficient Frequency domains Least square support vector machines Prediction accuracy Wind farm Wind speed forecast Wind speed forecasting Wind speed time series
DOI	10.1109/IPEMC.2012.6259171
收录类别	EI
语种	英语
EI入藏号	20124015497179
EI主题词	Wind
来源库	Compendex
分类代码	443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 723 Computer Software, Data Handling and Applications - 731.3 Specific Variables Control - 921 Mathematics - 922.2 Mathematical Statistics
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/115967
专题	电气工程与信息工程学院
作者单位	School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu, 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Wang, Xiao-Lan,Chen, Qian-Cheng. Short-term wind speed forecast of wind farm based on V-system and LSSVM[C]:IEEE Computer Society,2012:2113-2117.