TD_HOLT_WINTERS_FORECASTER uses triple exponential smoothing on a forecast model with seasonal data or double exponential smoothing for non-seasonal data, depending on the parameters. The seasonal aspect means the data is repetitive over some period. The level, trend, and seasonality components are used for the calculations. The level and seasonality components are additive or multiplicative. In either case, the trend remains additive. The selected parameters control these areas. The alpha, beta, and gamma parameters coincide with the level, trend, and seasonality, respectively, to control the main smoothing components. When values are not supplied for these parameters, their values are calculated. The values are available in the secondary result set.
For single exponential smoothing, see TD_SIMPLEEXP.