One-month ahead prediction of wind speed and output power based on EMD and LSSVM

doi:10.1109/ICEET.2009.571

	One-month ahead prediction of wind speed and output power based on EMD and LSSVM
	Wang, Xiaolan; Li, Hui
	2009
会议名称	2009 International Conference on Energy and Environment Technology, ICEET 2009
会议录名称	2009 International Conference on Energy and Environment Technology, ICEET 2009
卷号	3
页码	439-442
会议日期	October 16, 2009 - October 18, 2009
会议地点	Guilin, China
出版者	IEEE Computer Society
摘要	Wind speed is a kind of non-stationary time series, it is difficult to construct the model for accurate forecast. The way improving accuracy of the model for predicting wind speed up to one-month ahead has been investigated using measured data recorded by wind farm. A forecasting method based on empirical mode decomposition (EMD) and least square support vector machine (LSSVM) is proposed in this paper. The non-stationary time series is decomposed into several intrinsic mode functions (IMF) and the trend term. The different LSSVM models to forecast each IMF are built up. These forecasting results of each IMF are combined to obtain the final forecasting result. Considering the power characteristics, unit efficiency and the operate condition of the generators, the one-month ahead forecasted output power of the wind power plant can be obtained. © 2009 IEEE.
关键词	Functions Least squares approximations Signal processing Support vector machines Time series Wind Wind power Empirical Mode Decomposition Forecasting methods Intrinsic Mode functions Least square support vector machines Non-stationary time series Power characteristic Unit efficiency Wind speed forecasting
DOI	10.1109/ICEET.2009.571
收录类别	EI
语种	英语
EI入藏号	20101212782708
EI主题词	Forecasting
来源库	Compendex
分类代码	443.1 Atmospheric Properties - 615.8 Wind Power (Before 1993, use code 611 ) - 716.1 Information Theory and Signal Processing - 723 Computer Software, Data Handling and Applications - 921 Mathematics - 921.6 Numerical Methods - 922.2 Mathematical Statistics
引用统计	被引频次：17[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116628
专题	电气工程与信息工程学院
作者单位	School of Electrical Engineering, Lanzhou University of Technology, Gansu, Lanzhou, 730050, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Wang, Xiaolan,Li, Hui. One-month ahead prediction of wind speed and output power based on EMD and LSSVM[C]:IEEE Computer Society,2009:439-442.