One day ahead prediction of wind speed and direction

被引：96
|
作者：
El-Fouly, Tarek H. M. [1 ]
EI-Saadany, Ehab F. [1 ]
Salama, Magdy M. A. [1 ]
机构：
[1] Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2008年 / 23卷 / 01期
关键词：
least-square method; prediction; time series; wind;
D O I：
10.1109/TEC.2007.905069
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents a new technique for predicting wind speed and direction. This technique is based on using a linear time-series-based model relating the predicted interval to its corresponding one- and two-year old data. The accuracy of the model for predicting wind speeds and directions up to 24 h ahead have been investigated using two sets of data recorded during winter and summer season at Madison weather station. Generated results are compared with their corresponding values when using the persistent model. The presented results validate the effectiveness and accuracy of the proposed prediction model for wind speed and direction.
引用
收藏
页码：191 / 201
页数：11
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