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SmartRate: a rating interpretation mechanism for agents in smart grid markets

Published: 07 August 2012 Publication History

Abstract

We present SmartRate, a trust and reputation-based decision framework for Smart Grid, based on the available ratings provided by other customers. This model considers multiple trust factors associated with the broker and the preferences of customers for each of these factors. We define a decision framework for broker selection based on multi-attribute utility function and show how learning customers' rating behaviors helps to increase a decision maker's utility. We evaluate this framework by simulating a market based on real-world data. Our results show that learning the characteristics of a rating population helps to interpret and personalize the ratings, which results in better decision making and an increase in customer satisfaction.

References

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DoE. http://energy.gov, 2011.
[2]
Y. Haghpanah and M. desJardins. PRep: A probabilistic reputation model for biased societies. In AAMAS-2012 to appear, 2012.
[3]
JDPower. http://www.jdpower.com/homes/ratings/texas-electric-retailer-ratings, 2011.
[4]
R. Keeney. Multiplicative utility functions. Operations Research, pages 22--34, 1974.
[5]
W. Ketter, J. Collins, P. Reddy, C. Flath, and M. Weerdt. The power trading agent competition. In ERIM Report Series Research in Management, ERS-2011-027-LIS, December 2011.

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  1. SmartRate: a rating interpretation mechanism for agents in smart grid markets

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    ICEC '12: Proceedings of the 14th Annual International Conference on Electronic Commerce
    August 2012
    357 pages
    ISBN:9781450311977
    DOI:10.1145/2346536
    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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    • Singapore Management University: Singapore Management University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 07 August 2012

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    Author Tags

    1. behavioral modeling
    2. rating
    3. reputation
    4. smart grid
    5. trust

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    ICEC '12
    Sponsor:
    • Singapore Management University

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    Overall Acceptance Rate 150 of 244 submissions, 61%

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