Variational Data Assimilation for Renewable Wind Energy Predictions: China Inner Mongolia Case Study

被引：1
|
作者：
Wang, Haifeng [1 ]
Yin, Wen Jun [1 ]
Zhang, Meng [1 ]
Dong, Jin [1 ]
机构：
[1] IBM Corp, IBM Res, Beijing, Peoples R China
来源：
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8 | 2012年 / 383-390卷
关键词：
Wind Power; Numerical Werather Prediction; Variational Data Assimilation;
D O I：
10.4028/www.scientific.net/AMR.383-390.3685
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Advanced data assimilation method is used for the short-term wind power forecasting based on a meso-scale model. Considerable forecast error reduction is concluded from a case study in China, where a better resolved high-resolution initial condition is introduced via assimilating various in-situ observations.
引用
收藏
页码：3685 / 3689
页数：5
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