One day ahead prediction of wind speed and direction

被引：97

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

页码：191 / 201

页数：11

共 23 条

[1]

Ackermann T, 2005, WIND POWER IN POWER SYSTEMS, P1, DOI 10.1002/0470012684

[2] Short-term forecasting of wind speed and related electrical power [J].

Alexiadis, MC ;

Dikopoulos, PS ;

Sahsamanoglou, HS ;

Manousaridis, IM .

SOLAR ENERGY, 1998, 63 (01) :61-68

[3] Wind speed and power forecasting based on spatial correlation models [J].

Alexiadis, MC ;

Dokopoulos, PS ;

Sahsamanoglou, HS .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 1999, 14 (03) :836-842

[4] Long-term wind speed and power forecasting using local recurrent neural network models [J].

Barbounis, TG ;

Theocharis, JB ;

Alexiadis, MC ;

Dokopoulos, PS .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2006, 21 (01) :273-284

[5]

*CAN WIND EN ASS, 2001, WIND VIS CAN

[6]

Costa M, 2001, IEEE IJCNN, P258, DOI 10.1109/IJCNN.2001.939027

[7] A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation [J].

Damousis, IG ;

Alexiadis, MC ;

Theocharis, JB ;

Dokopoulos, PS .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (02) :352-361

[8] A fuzzy expert system for the forecasting of wind speed and power generation in wind farms [J].

Damousis, IG ;

Dokopoulos, P .

PICA 2001: 22ND IEEE POWER ENGINEERING SOCIETY INTERNATIONAL CONFERENCE ON POWER INDUSTRY COMPUTER APPLICATIONS, 2001, :63-69

[9]

El-Fouly THM, 2004, P N AM POW S, P249

[10]

European Wind Energy Association, 2002, WIND FORC 12

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