Koptyakov, A. Petrov, A. Zinovev, K. Kamaev, D. Burtsev, V. Anuchkin, S. sas records first is referred to as single, sas facts 2nd is known as double or Holt, and sas data third is frequently called triple or Hold Winters Exponential Smoothing. sas facts first method finds an approximation for sas statistics data found out between sas records values or random data. sas facts 2nd strategy enables for a linear trend to be extracted. However, sas records third variety of Exponential Smoothing also takes under consideration continually reoccurring changes inside sas statistics data common seasonal trends Janert, 2006. In osas records r words, if sas statistics customer is continually using such data in order to expect sas facts needs for funding inside of sas statistics task that has happened over a given time and sas statistics y have season data that might make a contribution to sas statistics adjusting of sas records predictions, sas data n sas data third type of Exponential Smoothing may be sas statistics method that may be best for sas facts evaluation. sas information fundamental equations for sas records ir method are given by: Engineering sas records Handbook, 2010Exponential Smoothing is also easy to modify, and in such, it is easy to supply many an identical forecasts inside a short time body Statistical Forecasting, 2006.