Nipun_Batra:

That being said, I guess you’d be suggesting to use something like a single sequence per home of length num_days*24?


Exactly.



 Nipun_Batra:

I am afraid I don’t fully follow. I guess I am not sure if I have the same definition of series as you’re thinking about. Would be great if you could elaborate a bit.


Maybe my ideas were badly formed too. I’ll try again. From your input data you produce sequences of length 24 that start at midnight, this is your training data. You could run through the process again producing sequences of length 24 that start at 1am, and add these to the training data. And again producing sequences that start at 2am, and so on. That way you would have windows that start at midnight, and windows that start at 1am, and windows that start at 2am, etc. Adding the hour features would be tricky though.



 Nipun_Batra:

If only I could get these additional features to work 


Are the target values normalized?
What about adding more training iterations? The model might need more time to adapt to the inputs when there are more of them.