Ultra-Short-Term Wind Power Prediction Using BP Neural Network

被引：0
|
作者：
Li, Jinxuan [1 ]
Mao, Jiandong [1 ]
机构：
[1] Beifang Univ Nationalities, Sch Elect & Informat Engn, Yinchuan 750021, Peoples R China
来源：
PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2014年
关键词：
Power System; Ultra-Short-Term; Wind Power Prediction; BP Neural Network;
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 a newly renewable energy, wind power is one of the fastest growing and the most mature power generation technology. Based on the historical numerical weather prediction and corresponding wind power output data, an ultra short-term wind power prediction method for future four hours is presented and a prediction model based on BP neural network is established. Some experiments are performed. The results show that the prediction method is feasible and has important reference value for similar wind power prediction system.
引用
收藏
页码：2001 / 2006
页数：6
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