Abstract
Two process to demarcate areas with analogous wind conditions have been developed in this analysis. The used techniques are based on clustering algorithms that will show us the wind directions relations for all stations placed in the studied zone. These relations will be used to build two matrixes, one for each method, allowing us working simultaneously with all relations. By permutation of elements on these matrixes it is possible to group related stations. These grouped distributions matrixes will be compared among themselves and with the wind directions correlation matrix to select the best algorithm of them.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Palomares-Salas, J.C., Agüera-Pérez, A., González de la Rosa, J.J. (2012). Intelligent Techniques for Identification of Zones with Similar Wind Patterns. In: Liñán Reyes, M., Flores Arias, J.M., González de la Rosa, J.J., Langer, J., Bellido Outeiriño, F.J., Moreno-Munñoz, A. (eds) IT Revolutions. IT Revolutions 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 82. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32304-1_2
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DOI: https://doi.org/10.1007/978-3-642-32304-1_2
Publisher Name: Springer, Berlin, Heidelberg
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