Genetic fuzzy systems applied to model local winds

The wind climate measured in a point is usually described as the result of a regional wind climate forced by local effects derived from topography, roughness and obstacles in the surrounding area. This paper presents a method that allows to use fuzzy logic to generate the local wind conditions caused by these geographic elements. The fuzzy systems proposed in this work are specifically designed to modify a regional wind frequency rose attending to the terrain slopes in each direction. In order to optimize these fuzzy systems, Genetic Algorithms will act improving an initial population and, eventually, selecting the one which produce the best approximation to the real measurements.