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.
- Sustainability Panel, 3:00pm, October 2, GHC 6115The Fall 2012 Sustainability and Computing seminar series will kick off October 2, 3:00-4:00pm (GHC 6115), with a panel discussion of four computer science faculty working on different facets of the sustainability problem: Jen Mankoff, Zico Kolter, Dave Andersen, and … Continue reading →
- Energy Institute Launch, 4:30pm, 9/21, Rashid Auditorium (Gates)CMU is launching a new Energy Institute, headed up by Granger Morgan. Come participate, listen to a symposium of top campus energy experts, and chat about the new institute at the upcoming launch.
- Zico Kolter 9/26/12, Noon, BH 129, Building an Informatics of Personal Energy ConsumptionZico Kolter, an incoming Assistant Professor in the School of Computer Science at Carnegie Mellon and currently a postdoctoral fellow in the Computer Science and Artificial Intelligence Laboratory at MIT, will be the CEIC’s featured speaker on Wednesday, September 26, … Continue reading →
- Sustainability Panel, 3:00pm, October 2, GHC 6115