Predictive Home Energy Management (Dey, Köhler & Mankoff)

One view of energy consumption says that human behavior modification should come only after we have optimized and automated whatever we can. In that vein, we have leveraged Brian Ziebart‘s work with Anind Dey on Trajectory Forecasting  to predict when people will arrive home using a widely accessibly commodity device, the cell phone. This information can be used to turn on heating, cooling, and lighting only when the user is actually needing them and thus has the potential to reduce energy consumption in domestic environments. Our initial prospective comparative study in this domain is in submission to Ubicomp 2012.

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