Current status and future advances for wind speed and power forecasting

被引：500

作者：

Jung, Jaesung ^{[1
]}

Broadwater, Robert P. ^{[1
]}

机构：

[1] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Virginia Tech, Blacksburg, VA 24061 USA

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2014年 / 31卷

关键词：

Wind speed; Wind power; Spatial correlation forecasting; Regional forecasting; Probabilistic forecasting; Offshore forecasting; SHORT-TERM PREDICTION; PERFORMANCE EVALUATION; ENSEMBLE PREDICTIONS; STATISTICAL-ANALYSIS; NEURAL-NETWORKS; MODEL; GENERATION; SYSTEM; IMPACT; ERROR;

D O I：

10.1016/j.rser.2013.12.054

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents an overview of existing research on wind speed and power forecasting. It first discusses state-of-the-art wind speed and power forecasting approaches. Then, forecasting accuracy is presented based on variable factors. Finally, potential techniques to improve the accuracy of forecasting models are reviewed. A full survey on all existing models is not presented, but attempts to highlight the most promising body of knowledge concerning wind speed and power forecasting. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：762 / 777

页数：16

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