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
会议日期	June 2, 2012 - June 5, 2012
会议地点	Harbin, China
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
卷号	3
DOI	10.1109/IPEMC.2012.6259171
页码	2113-2117
英文摘要	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.
会议录	Conference Proceedings - 2012 IEEE 7th International Power Electronics and Motion Control Conference - ECCE Asia, IPEMC 2012
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://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
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]. 见:. Harbin, China. June 2, 2012 - June 5, 2012.