@conference {1504355,
	title = {SAVES: A Sustainable Multiagent Application to Conserve Building Energy Considering Occupants },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)	},
	year = {2012},
	abstract = {This paper describes an innovative multiagent system called
SAVES with the goal of conserving energy in commercial buildings. We specifically focus on an application to be deployed in
an existing university building that provides several key novelties:
(i) jointly performed with the university facility management team,
SAVES is based on actual occupant preferences and schedules, actual energy consumption and loss data, real sensors and hand-held
devices, etc.; (ii) it addresses novel scenarios that require negotiations with groups of building occupants to conserve energy; (iii) it
focuses on a non-residential building, where human occupants do
not have a direct financial incentive in saving energy and thus requires a different mechanism to effectively motivate occupants; and
(iv) SAVES uses a novel algorithm for generating optimal MDP
policies that explicitly consider multiple criteria optimization (energy and personal comfort) as well as uncertainty over occupant
preferences when negotiating energy reduction {\textendash} this combination
of challenges has not been considered in previous MDP algorithms.
In a validated simulation testbed, we show that SAVES substantially reduces the overall energy consumption compared to the existing control method while achieving comparable average satisfaction levels for occupants. As a real-world test, we provide results of
a trial study where SAVES is shown to lead occupants to conserve
energy in real buildings.},
	author = {Kwak, Jun-young and Varakantham, Pradeep and Maheswaran, Rajiv and Tambe, Milind and Farrokh Jazizadeh and Geoffrey Kavulya and Laura Klein and Becerik-Gerber, Burcin and Timothy Hayes and Wood, Wendy}
}
