The original time series isn't stationary, it has trend and seasonality. I prepared my dataset removing autocorrelation, trend and seasonality in order to have a stationary series and I made the predictions with Holt-Winters method.
How can I apply trend and seasonality to HW predictions? Just to clarify my doubts: last demand data is around 3000 (with trend and seasonality), with HW I have a prediction around 0, how can I come back to real data to understand the "real" demand prediction?
I'm using R-Studio, do you have any specific function to suggest?
Thank you in advance
