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Title of article :
Wind speed reconstruction from synoptic pressure patterns using an evolutionary algorithm
Author/Authors :
Carro-Calvo، نويسنده , , L. and Salcedo-Sanz، نويسنده , , S. Pérez Prieto، نويسنده , , L. and Kirchner-Bossi، نويسنده , , N. and Portilla-Figueras، نويسنده , , A. and Jiménez-Fernلndez، نويسنده , , S.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
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Abstract :
This paper presents an evolutionary algorithm for wind speed reconstruction from synoptic pressure patterns. The algorithm operates in a search space formed by grids of pressure measures, and must classify the different situations into classes, in such a way that a measure of wind speed in a given point is minimized among patterns assigned to the same class. Then, each class is assigned a mean wind speed and direction, so the wind speed reconstruction is possible for a new grid of synoptic pressures. In this paper we present the problem model and the specific description of the evolutionary algorithm proposed to solve the problem. We also show the good performance of the proposed method in the reconstruction of the average wind speed in six wind towers in Spain. The proposed method is applicable to wind speed reconstruction or reconstruction of wind missing data of wind series, specially when there is no other variable or related measure available.
Keywords :
Wind rose reconstruction , Evolutionary algorithms , Synoptic pressure patterns
Journal title :
Applied Energy
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Link To Document :