Research of Wind Speed and Wind Power Forecasting

被引:5
|
作者
Zheng Xiaoxia [1 ]
Fu Yang [1 ]
机构
[1] Shanghai Univ Elect Power, Shanghai, Peoples R China
来源
关键词
Wind power; Wind speed; Forecasting; Statistical approach; Neural network;
D O I
10.4028/www.scientific.net/AMR.347-353.611
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Wind power has entered a rapid progress stage. Due to the intermittency of wind energy and the non-linearity of power system, there exist many uncertain variables which should be considered in the wind power prediction. Accurate wind power forecastings are beneficial for wind plant operators, utility operators, and utility customers. The current forecasting methods include persistence method, physical method, statistical method, and the comprehensive one combing all the other methods. This paper provides a detail review on wind speed and wind power forecasting methods based on recent available published papers. Several forecasting models were discussed and a lot of researchers on the models, which have their own characteristics, were presented. An overview of comparative analysis of wind forecasting time scales is discussed as well.
引用
收藏
页码:611 / 614
页数:4
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