# Exponential smoothing method that can be used in seasonal forecasting without trend

I'm working on the task of forecasting. The data I have is seasonal. I use exponential smoothing methods, but my references (e.g. for the Holt-Winters method) are for using such methods for seasonal and trended data.

Are there exponential smoothing methods for seasonal data without trend? Any references?

In R, you can use the ets() command in the forecast package and specify model="ZNZ" to suppress trend but allow ets() to fit seasonality, if it is there.
library(forecast)