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Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence Randomized Load Control: A Simple Distributed Approach for Scheduling Smart Appliances

By Menkes Van Den Briel, Paul Scott and Sylvie Thiébaux


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.

Year: 2014
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