Can a global model trained on data with a freq of 1 hour be used to predict a similar data but with a freq of 10 mints?

Hi @Syed Umair Hassan. This is still an open question, we are currently working on this problem as part of our research program (https://forecasters.org/programs/research-awards/iif-sas/). For now, I can say that it is mostly empirical. It might work in some cases and for some models, in particular if time series are "similar". We have a tutorial on transfer learning here: https://nixtla.github.io/neuralforecast/examples/transfer_learning.html. We would be happy to hear your results on transferring the model between frequencies 🙂