The Holt-Winters method — also known as triple exponential smoothing — is an incredibly popular and relatively simple method for time series forecasting. This article will be a somewhat thorough introduction into the math and theory of the Holt-Winters method, complete with a Python implementation from scratch.
HOLT-WINTERS METHOD
The Holt-Winters method is a very common time series forecasting procedure capable of including both trend and seasonality. The Holt-Winters method itself is a combination of 3 other much simpler components, all of which are smoothing methods: