neuralnilm_prototype
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curriculum training
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 nothing. Ignore time-of-day. Then, once these weights are trained, maybe add in time-of-day, possibly feeding into an upper layer.