Using Genetic Fuzzy Algorithms to Model the Evolution of Climate Variables at San Jorge Gulf Area

The following paper presents a genetic fuzzy model that utilizes special features, for the prediction of the wind speed variations in various time windows in the future. The model utilizes a set of meteorological stations that encircle the wind turbine clusters at a radius of 15km or more. The system has been applied using data collected over a period of 2 years at locations in the northern part of South Patagonia, Argentina, in the area called San Jorge Gulf. It achieves an understanding of the problem autonomously. A user intervention to assist the training process is not needed while there is also no need for a certain parameters' initialization, like in other methods, which contributes to the model's robustness.