Genetic Fuzzy Learning of local wind conditions

The wind climate measured in a point could be described as the regional wind climate of the zone forced by local effects derived from topography, roughness and obstacles in the surrounding area. This paper presents a method that allows to find fuzzy relations between the local wind climate in a location and the physical geography of the area. The fuzzy sets used in this work will connect relief elements with a probability relationed with the chances of flow over the concerned element. Thus, evaluating the heights and slopes of the terrain around the selected point, each fuzzy system will generate a possible local wind climate, which will be compared with the real one. In order to obtain the best agreement, a population of these fuzzy systems will be improved using Genetic Algorithms.