Aplicación de modelos auto regresivos para la predicción de generación de energía eléctrica a partir de datos eólicos

We discuss the classic auto regressive statistical models Box and Jenkins used in prediction problems, and their application is analyzed in the energy sector. Subsequently, we propose a methodology based on the application of these models for the prediction of electric power generation, from data obtained at a wind farm in Ventosa, Oaxaca. Finally, the model and the preliminary results obtained shows an R2 = 0.974 and an RMSE = 18.862.