AES & SES (Adaptive Exponential Smoothing method & Simple Exponential Smoothing method

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AES and SES can be carried out to forecast the future sales demand based on the last collected information. AES stands for Adaptive Exponential Smoothing and SES stands for Simple Exponential Smoothing method. Which calculations can be different a little but the performance can be also be vary.

As known that SES method is the simplest method to forecast by using the fixed simple smoothing coefficient, this is used to compare the differences between SES and AES.
Adaptive exponential smoothing (AES) methods allow a smoothing parameter to change over time, in order to adapt to changes in the characteristics of the time series.



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