@conference {1504589,
	title = {Sustainable Multiagent Application to Conserve Energy },
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Demonstration Track	},
	year = {2012},
	abstract = {Limited availability of energy resources has motivated the need
for developing efficient measures of conserving energy. Conserving energy in commercial buildings is an important goal since these
buildings consume significant amount of energy, e.g., 46.2\% of
all building energy and 18.4\% of total energy consumption in the
US [1]. This demonstration focuses on a novel application to be
deployed at Ralph \& Goldy Lewis Hall (RGL) at the University
of Southern California as a practical research testbed to optimize
multiple competing objectives: i) energy use in the building; ii)
occupants{\textquoteright} comfort level; and iii) practical usage considerations.
This demonstration complements our paper in the AAMAS innovative applications track [4], presenting a novel multiagent building application for sustainability called SAVES (Sustainable multiAgent systems for optimizing Variable objectives including Energy
and Satisfaction). This writeup will provide a high-level overview
of SAVES and focus more on the proposed demonstration, but readers are referred to [4] for a more technical description. SAVES provides three key contributions: (i) jointly performed with the university facility management team, our research is based on actual
building and occupant data as well as real sensors and devices, etc.;
(ii) it focuses on non-residential buildings, where human occupants
do not have a direct financial incentive in saving energy; and (iii)
SAVES uses a novel algorithm for generating optimal BM-MDP
(Bounded parameter Multi-objective MDP) policies.
We demonstrate SAVES to show how to achieve significant energy savings and comparable average satisfaction level of occupants while emphasizing the interactive aspects of our application.},
	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}
}
