A least wasted first heuristic algorithm for the rectangular packing problem
Computers and Operations Research
Challenges in resource monitoring for residential spaces
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
A skyline-based heuristic for the 2D rectangular strip packing problem
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Managing plug-loads for demand response within buildings
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
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As the world moves towards renewable energy production, the importance of involving energy-consumers into the process of scheduling energy increases. In this paper we investigate which devices should be used to balance energy consumption to match its availability. We classify electrical devices in categories that can either start consuming energy when available or can be stopped when there are low levels of energy available. We built a prototype system that enables any household to use its electrical appliances to load balance its consumption using information on how a user has configured its appliance available to a central energy distribution system. We simulated two algorithms that could be used at an energy provider to make use of the information on how users have configured their appliances for load balancing. We present our results and a recommendation on the algorithm that can be used for load balancing on the consumer side.