One day ahead prediction of wind speed and direction

Tarek H.M. El-Fouly; Ehab F. El-Saadany; Magdy M.A. Salama

doi:10.1109/TEC.2007.905069

One day ahead prediction of wind speed and direction

Electrical Engineering

University of Waterloo

Research output: Contribution to journal › Article › peer-review

141 Scopus citations

Abstract

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.

Original language	British English
Pages (from-to)	191-201
Number of pages	11
Journal	IEEE Transactions on Energy Conversion
Volume	23
Issue number	1
DOIs	https://doi.org/10.1109/TEC.2007.905069
State	Published - Mar 2008

Keywords

Least-square method
Prediction
Time series
Wind

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10.1109/TEC.2007.905069

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title = "One day ahead prediction of wind speed and direction",

abstract = "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.",

keywords = "Least-square method, Prediction, Time series, Wind",

author = "El-Fouly, \{Tarek H.M.\} and El-Saadany, \{Ehab F.\} and Salama, \{Magdy M.A.\}",

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T1 - One day ahead prediction of wind speed and direction

AU - El-Fouly, Tarek H.M.

AU - El-Saadany, Ehab F.

AU - Salama, Magdy M.A.

PY - 2008/3

Y1 - 2008/3

N2 - 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.

AB - 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.

KW - Least-square method

KW - Prediction

KW - Time series

KW - Wind

UR - https://www.scopus.com/pages/publications/40849147501

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SP - 191

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JO - IEEE Transactions on Energy Conversion

JF - IEEE Transactions on Energy Conversion

IS - 1

ER -

One day ahead prediction of wind speed and direction

Abstract

Keywords

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