Occupancy Data-Driven Models for Demand-Response HVAC Control in Smart Buildings
Seminar: i4Energy seminar | September 10 | 12-1 p.m. | 250 Sutardja Dai Hall
Alberto Cerpa, Assistant Professor, School of Engineering, UC Merced
CITRIS (Ctr for Info Technology Research in the Interest of Society)
Part of the Fall 2010 i4Energy Seminar Series. Live broadcast at mms://media.citris.berkeley.edu/webcast; Questions can be sent via Yahoo IM to username: citrisevents. The schedule for the fall i4energy series is at http://www.citris-uc.org/events/i4energy-fall2010
SETI combines state-of-the-art network technology with novel data processing algorithms in order to determine how people are distributed within a building. The ultimate goal of the seed-funded project is to model and accurately predict how buildings will be used in order to achieve significant energy savings.
Available Now: Alberto Cerpa’s talk on YouTube