Double Exponential Smoothing (DES)

Applies SES twice, once to the original data and then to the resulting SES data. Predictor uses Holt’s method for double exponential smoothing, which can use a different parameter for the second application of the SES equation. Predictor can automatically calculate the optimal smoothing constants, or you can manually define the smoothing constants.

This method is best for data with a trend but no seasonality. It results in a straight, sloped-line forecast.

Figure 33. Typical Double Exponential Smoothing Data, Fit, and Forecast Line

Upward trending graph of double exponential smoothing historical and forecasted data