I am just wondering that, in terms of the multi-seasonal time series forecast, what is the difference between
auto.arimafind the ARMA order, then fit
As ARMA+Fourier can also takes other covariates into account while
tbats cannot, why people tend to use
tbats one? Better performance in terms of forecasting?