Abstract
This work presents a system for collecting user activity annotations using in-home distributed energy monitoring combined with a novel algorithm that generates device-specific profiles used to identify potentially important changes in user context. In a five-week study of five homes, the system was able to generate profiles for 80% of the devices studied. Moreover, between four and five important changes in user context were identified when background loads were accurately distinguished.
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