Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18171
Title: Wind Speed Prediction Using Artificial Neural Networks
Authors: Kalogirou, Soteris A. 
Neocleous, Costas 
Pashiardis, Stelios 
Schizas, Christos N. 
Major Field of Science: Natural Sciences
Field Category: Earth and Related Environmental Sciences
Keywords: Wind speed prediction;Artificial Neural Networks
Issue Date: Jun-1999
Source: European Symposium on Intelligent Techniques, 1999, 3 - 4 June, Crete, Greece
Conference: European Symposium on Intelligent Techniques 
Abstract: A multilayered artificial neural network has been used for predicting the mean monthly wind speed in regions of Cyprus where data are not available. Data for the period 1986-1996 have been used to train a neural network, whereas data for the year 1997 were used for validation. Both learning and prediction were performed with adequate accuracy. Two network architectures of the similar type have been tried. One with eleven neurons in the input layer and one with five. The second one proved to be more accurate in predicting the mean wind speed. The maximum percentage difference for the validation set was confined to less than 1.8% on an annual basis, which is considered by the domain expert as adequate.
URI: https://hdl.handle.net/20.500.14279/18171
Type: Conference Papers
Affiliation : Higher Technical Institute Cyprus 
Meteorological Service of Cyprus 
University of Cyprus 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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