Smart homes hold the potential for increasing energy efficiency, decreasing costs of energy use, decreasing the carbon footprint by including renewable resources, and transforming the role of the occupant. At the crux of the smart home is an efficient electric energy management system that is enabled by emerging technologies in the electricity grid and consumer electronics. This article presents a discussion of the state-of-theart in electricity management in smart homes, the various enabling technologies that will accelerate this concept, and topics around consumer behavior with respect to energy usage.
Future smart homes are expected to satisfy homeowners by acting on their behalf through personalized adaptation to their preferences. It is important to understand how individuals' preferences vary, what occupants consider "ideal" and how they value tradeoffs between costs and benefits of home services. In this poster, we present three models of human preference capable of evaluating the utility of a home outcome and generating a unique, personalized score. Using these, a home energy management system (HEMS) can identify the outcome evaluated as best by homeowners. We discuss an online survey method, results, and comparison between three methods in terms of their preference prediction accuracy, time to complete, and participant usability.
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