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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.

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