Household electricity demand is hard to predict because people's habits vary wildly. This paper embeds inferred behavioral patterns into a neural process model to forecast short-term load. Most models fail to capture the diversity of household routines, but this one does better. If your smart grid relies on a model that can't handle real people, you're in trouble.
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