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
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