Thus, it was chosen to perform the forecast one-step-ahead, in the case of this study, one month ahead. In the
various models analyzed, this prediction proved to be such as that found the lowest MAPE. Thus, it avoids using
only a period of the series, analyze the ASM one-step-ahead composed of five periods, which evaluated the
forecast of each of these periods, being the MAPE constructed from the absolute percent average of the sum of
these errors.
Table 3 shows the comparison of MAPE obtained by using four AR1 models, Single Exponential Smoothing,
Double Exponential Smoothing and ARIMA (0, 2, 1). It is observed that the MAPE of the AR1 model enables
its use when compared to other options.