Energy efficient building environment control strategies using real-time occupancy measurements
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Occupancy-driven energy management for smart building automation
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Learning time-based presence probabilities
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility
Autonomous Agents and Multi-Agent Systems
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The increasing worldwide concern over the energy consumption of commercial buildings calls for new approaches that analyze scheduled occupant activities and proactively take steps to curb building energy use. As one step in this direction, we propose to automate the scheduling of meetings in a way that uses available meeting rooms in an energy efficient manner, while adhering to time conflicts and capacity constraints. We devise a number of scheduling algorithms, ranging from greedy to heuristic approaches, and demonstrate up to a 70% reduction in energy use, with the best algorithms producing schedules whose energy use matches that of a brute force oracle.