A Hybrid Model for Wind Speed Prediction based on Spatial Correlation

被引：0
|
作者：
Wang, Dong [1 ]
Fei, Jianping [1 ]
Qian, Haidong [1 ]
Zhao, Yuhong [2 ]
机构：
[1] Zhoushan Elect Power Co, Zhoushan, Peoples R China
[2] Xidian Univ, Sch Math & Stat, Xian, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED MATHEMATICS | 2015年 / 122卷
关键词：
wind speed forecasting; spatial correlation; coupla functions; state space;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The accurate prediction of wind speed is greatly significant for evaluating the security and economy of the wind farm which is connected to the grid. This paper proposed a hybrid model for wind speed prediction based on spatial correlation and nonlinear state space model. Firstly, a rank correlation coefficient is calculated according a Coupla function and the coefficient is used to choose the input data of the model. A support vector regression machine is introduced to build a nonlinear state space model, and then a hybrid model is obtained. Finally, experiment results based on some public data are given, the results demonstrate that the proposed hybrid model has higher prediction accuracy and stable performance while comparing with some classical algorithm.
引用
收藏
页码：124 / 127
页数：4
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