neuralnilm_prototype
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JackKelly
- [ ] compare shallow net using my hand engineered feature detectors as inputs vs deep net without hand engineered detectors. Could try getting a net to just reproduce each...
Train first on synthetic data where we just have, say, 500 timesteps, half of which are the TV. Mix with a combination of a small number of other appliances and...
- [ ] a static visualisation which shows the ‘receptive field’ of each neuron - [ ] dynamic visualisation which shows which neurons are on at different time steps in...
- [ ] Compute NILM metrics on every validation cycle - [ ] Create benchmarks using FHMM and CO and Hart on, say, 1 month of data. Use this to...
Also need to modify NILMTK so we can do training and disag using simple dataframes.
Wait until appliance has finished its run, then output the total energy usage for that appliance (in one go). Or wait until end of sequence (but that requires long memory).