Simple and Double Exponential Smoothing (SES / Holt)
Exponential smoothing is a family of basic time-series forecasting models in which each new observation updates a smoothed estimate by a weighting parameter. Simple exponential smoothing (SES), introduced by Robert G. Brown in 1959, forecasts series with a stable level, while Holt's double exponential smoothing, introduced by Charles C. Holt in 1957, adds a trend term using the parameters alpha and beta.
Brown, R. G. (1959). Statistical Forecasting for Inventory Control. McGraw-Hill. link ↗
Holt, C. C. (1957). Forecasting Trends and Seasonals by Exponentially Weighted Averages. Office of Naval Research Memorandum 52, Carnegie Institute of Technology. link ↗