I wasn't very sure what the sliding window part was about either. I think they were just saying that they trained on a sliding window using the "output window" as part of their loss function.
A feed-forward NN wouldn't do much because it doesn't hold a state variable which you need to be able to understand context in time series data. There are probably some pieces of the state that you'd be able to interpret but the majority of it would mean nothing to us.
A feed-forward NN wouldn't do much because it doesn't hold a state variable which you need to be able to understand context in time series data. There are probably some pieces of the state that you'd be able to interpret but the majority of it would mean nothing to us.