What is the most important difference between SES (simple exponential smoothing)

Question

What is the most important difference between SES (simple exponential smoothing) and DES (double exponential smoothing)? 1. DES can only handle recent data while SES can handle older data as well. 2. SES can only handle stationary models (with no trend) while DES can handle trend models. 3. SES can only handle recent data while DES can handle older data as well. 4. DES can only handle stationary models (with no trend) while SES can handle trend models. 5. Both SES and DES are the same. There is no difference.

Explanation / Answer

What is the most important difference between SES (simple exponential smoothing) and DES (double exponential smoothing)?

2. SES can only handle stationary models (with no trend) while DES can handle trend models.

P.S. - Please leave a comment if we can choose more than 1 option.

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