A review on the forecasting of wind speed and generated power

被引：863

作者：

Ma Lei ^{[1
]}

Luan Shiyan ^{[1
]}

Jiang Chuanwen ^{[1
]}

Liu Hongling ^{[1
]}

Zhang Yan ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2009年 / 13卷 / 04期

基金：

国家高技术研究发展计划(863计划);

关键词：

Forecasting; Wind speed; Wind power generation; Physical models; Statistic models; Spatial correlation models; Artificial intelligence; SHORT-TERM PREDICTION; RECURRENT NEURAL-NETWORKS;

D O I：

10.1016/j.rser.2008.02.002

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In the world, wind power is rapidly becoming a generation technology of significance. Unpredictability and variability of wind power generation is one of the fundamental difficulties faced by power system operators. Good forecasting tools are urgent needed under the relevant issues associated with the integration of wind energy into the power system. This paper gives a bibliographical survey on the general background of research and developments in the fields of wind speed and wind power forecasting. Based on the assessment of wind power forecasting models, further direction for additional research and application is proposed. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：915 / 920

页数：6

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