Randomized load control: A simple distributed approach for scheduling smart appliances

Menkes Van Den Briel, Paul Scott, Sylvie Thiébaux

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    20 Citations (Scopus)

    Abstract

    A significant portion of the electricity network capacity is built to run only a few days a year when demand peaks. As a result, expensive power generation plants and equipment costing millions of dollars are sitting idle most of the time, which increases costs for everyone. We present randomized load control, a simple distributed approach for scheduling smart appliances. Randomized load control schedules the start time of appliances that are programmed to run within a specified time window, so that the aggregate load achieves a given ideal load. Our results show that we do achieve the given ideal load to a great extent. This is remarkable as the approach is completely distributed and preserves customer privacy as the scheduling happens within each house or building separately.

    Original languageEnglish
    Title of host publicationIJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence
    Pages2915-2922
    Number of pages8
    Publication statusPublished - 2013
    Event23rd International Joint Conference on Artificial Intelligence, IJCAI 2013 - Beijing, China
    Duration: 3 Aug 20139 Aug 2013

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    ISSN (Print)1045-0823

    Conference

    Conference23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
    Country/TerritoryChina
    CityBeijing
    Period3/08/139/08/13

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