Short-Term Wind Speed Forecasting for Wind Farm Based on Empirical Mode Decomposition

被引：0

作者：

Li, Ran ^{[1
]}

Wang, Yue ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Elect Engn, Baoding 071003, Peoples R China

来源：

ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8 | 2008年

关键词：

wind speed forecasting; EMD; ARMA;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

As an important renewable energy form, wind power obtains rapid development recently. More advanced accurate and reliable techniques for wind speed forecasting are required. It can reduce the disadvantageous impact to the power system. According to the outstanding feature of EMD algorithm, this paper presents a new technique for wind speed forecasting based on Empirical Mode Decomposition (EMD) and ARMA. EMD is a new method for analyzing nonlinear and non-stationary signal. It is an adaptive wavelet decomposition strategy. We make full use of the characteristic of the EMD and the ARMA in the EMD-ARMA model. Actual wind speed data are used to test the approach. It concludes that the EMD-ARMA model is an effective method in wind speed forecasting.

引用

页码：2521 / 2525

页数：5

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