One day ahead prediction of wind speed and direction / El-Fouly, T.H.M. in IEEE transactions on energy conversion, Vol. 23 N°1 (Mars 2008)  

Public ISBD [article]  inIEEE transactions on energy conversion > Vol. 23 N°1 (Mars 2008) . - pp. 191 - 201 Titre : One day ahead prediction of wind speed and direction Type de document : texte imprimé Auteurs : El-Fouly, T.H.M., Auteur ; El-Saadany, E. F., Auteur ; Salama, M.M.A., Auteur Année de publication : 2008 Article en page(s) : pp. 191 - 201 Note générale : Energy conversion Langues : Anglais (eng) Mots-clés : Least squares approximations  time series  wind power Résumé : 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. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4433186&sortType%3Das [...] [article] One day ahead prediction of wind speed and direction [texte imprimé] / El-Fouly, T.H.M., Auteur ; El-Saadany, E. F., Auteur ; Salama, M.M.A., Auteur . - 2008 . - pp. 191 - 201. Energy conversion Langues : Anglais (eng) in IEEE transactions on energy conversion > Vol. 23 N°1 (Mars 2008) . - pp. 191 - 201 Mots-clés : Least squares approximations  time series  wind power Résumé : 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. En ligne : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4433186&sortType%3Das [...]

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