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Managing energy tariffs with agents: a field study of a future smart energy system at home

Published: 07 September 2015 Publication History

Abstract

Interactive autonomous systems are likely to be more involved in future energy systems to assist human users. Given this, we prototyped a future scenario in which householders are assisted in switching electricity tariffs by an agent-based interactive system. The system uses real-time electricity monitoring to instantiate a scenario where participants may have to make, or delegate to their agent (in a variety ways), tariff switching decisions given uncertainty about their own consumption. We carried out a field trial with 12 households for 6 weeks in order to study the notion of autonomy. The results show nuanced ways in which monitoring system performance and taking control is balanced in everyday practice. Our field study provides promising directions for future use of smart systems that help householders manage their energy.

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    cover image ACM Conferences
    UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    September 2015
    1626 pages
    ISBN:9781450335751
    DOI:10.1145/2800835
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 07 September 2015

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    Author Tags

    1. field study
    2. human-agent interaction
    3. intelligent systems
    4. internet of things
    5. qualitative research
    6. smart grid

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    UbiComp '15
    Sponsor:
    • Yahoo! Japan
    • SIGMOBILE
    • FX Palo Alto Laboratory, Inc.
    • ACM
    • Rakuten Institute of Technology
    • Microsoft
    • Bell Labs
    • SIGCHI
    • Panasonic
    • Telefónica
    • ISTC-PC

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    • (2019)Artificial intelligence for team sports: a surveyThe Knowledge Engineering Review10.1017/S026988891900022534Online publication date: 20-Dec-2019
    • (2016)Tariff AgentACM Transactions on Computer-Human Interaction10.1145/294377023:4(1-28)Online publication date: 3-Aug-2016
    • (2016)It is too HotProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858222(5262-5273)Online publication date: 7-May-2016
    • (2016)Home Energy Management Using Multi Agent System for Web Based Grids2016 International Conference on Frontiers of Information Technology (FIT)10.1109/FIT.2016.069(342-347)Online publication date: Dec-2016

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