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

页码：3685 / 3689

页数：5

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