Time series forecasting

Research & Models
#1

I use the same models in Time series forecasting  |  TensorFlow Core with different data and the strange things the baseline and linear give the best performance. and I notice when adding layers or units to the models the performance worsens. can anyone explain why?

Thank you so much for your attention and participation.

#3

I’m afraid there can be tens of reasons why this does work not as well as expected.
Did you use the exact same code and just plugged a different dataset to it?
How similar/different are you data/dataset from the ones in the TF documentation?

#4

Everything is the same except the dataset, and i use different normalization methods, that improved my results. I use max absolute values for normalization.
Everything else is the same also i focus on single step with on label column