Hi
@Syed Umair Hassan! I think it is still an open question, and probably there is no definitive answer. It would probably depend more on the characteristics of the particular datasets. In general, yes, with more timestamps (either due to length or number of time series) global models tend to perform better on average than local models. Additionally, with short time series, models would probably struggle to produce accurate forecasts, as the
input_size
would be also short.