research-article

TESLA: an energy-saving agent that leverages schedule flexibility

Authors:

Jun-young Kwak,

Pradeep Varakantham,

Rajiv Maheswaran,

Burcin Becerik-Gerber,

Wendy WoodAuthors Info & Claims

AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems

Pages 965 - 972

Published: 06 May 2013 Publication History

Abstract

This innovative application paper presents TESLA, an agent-based application for optimizing the energy use in commercial buildings. TESLA'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's preferences for energy-efficient 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's assumptions exist in practice. TESLA was evaluated on data of over 110,000 meetings held at nine campus buildings during eight months in 2011-2012 at USC and SMU. These results show that, compared to the current systems, TESLA can substantially reduce overall energy consumption.

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Cited By

Barakat MKhoury HHuschka TChick S(2016)An agent-based framework to study occupant multi-comfort level in office buildingsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042267(1328-1339)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042267
Majumdar AZhang ZAlbonesi DKoutsoukos XMitchell I(2016)Characterizing the benefits and limitations of smart building meeting room schedulingProceedings of the 7th International Conference on Cyber-Physical Systems10.5555/2984464.2984470(1-10)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.5555/2984464.2984470

Index Terms

TESLA: an energy-saving agent that leverages schedule flexibility
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Intelligent agents

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Information & Contributors

Information

Published In

cover image ACM Other conferences

AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems

May 2013

1500 pages

ISBN:9781450319935

General Chairs:
Maria Gini
University of Minnesota, USA
,
Onn Shehory
IBM Haifa Research Lab, Israel
,
Program Chairs:
Takayuki Ito
Nagoya Institute of Technology, Japan
,
Catholijn Jonker
Delft Institute of Technology, The Netherlands

Sponsors

IFAAMAS

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 06 May 2013

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AAMAS '13

Sponsor:

AAMAS '13: International conference on Autonomous Agents and Multi-Agent Systems

May 6 - 10, 2013

MN, St. Paul, USA

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AAMAS '13 Paper Acceptance Rate 140 of 599 submissions, 23%;

Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

Barakat MKhoury HHuschka TChick S(2016)An agent-based framework to study occupant multi-comfort level in office buildingsProceedings of the 2016 Winter Simulation Conference10.5555/3042094.3042267(1328-1339)Online publication date: 11-Dec-2016
https://dl.acm.org/doi/10.5555/3042094.3042267
Majumdar AZhang ZAlbonesi DKoutsoukos XMitchell I(2016)Characterizing the benefits and limitations of smart building meeting room schedulingProceedings of the 7th International Conference on Cyber-Physical Systems10.5555/2984464.2984470(1-10)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.5555/2984464.2984470

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