@conference {1503280,
	title = {TESLA: An Energy-saving Agent that Leverages Schedule Flexibility },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
	year = {2013},
	abstract = {This innovative application paper presents TESLA, an agent-based
application for optimizing the energy use in commercial buildings.
TESLA{\textquoteright}s key insight is that adding flexibility to event/meeting
schedules can lead to significant energy savings. TESLA provides three key contributions: (i) three online scheduling algorithms that consider flexibility of people{\textquoteright}s preferences for energyefficient scheduling of incrementally/dynamically arriving meetings and events; (ii) an algorithm to effectively identify key meetings that lead to significant energy savings by adjusting their flexibility; and (iii) surveys of real users that indicate that TESLA{\textquoteright}s
assumptions exist in practice. TESLA was evaluated on data of
over 110,000 meetings held at nine campus buildings during eight
months in 2011{\textendash}2012 at USC and SMU. These results show that,
compared to the current systems, TESLA can substantially reduce
overall energy consumption.},
	author = {Kwak, Jun-young and Varakantham, Pradeep and Maheswaran, Rajiv and Chang, Yu-Han and Tambe, Milind and Becerik-Gerber, Burcin and Wood, Wendy}
}
