CBSF: A Framework for Accurate Simulation of Appliance Data for Future Smart Grid Applications

Abstract

Efficient energy management of computing infrastructure has been shown to reduce the operational expenses of enterprises as well as contribute in reducing the carbon foot-print of the organization. Various studies have proposed methods to reduce the energy consumption of computing devices at server farms, commercial offices and in consumer households. However, a system that impacts the habits of consumers requires rigorous inspection. From our previous experiences, we found that most of the techniques used in evaluating the response of devices to efficient energy management strategies fall short of representing the actual consumption. This has severe consequences for utilization and adaptation of efficiency measures. To this end in this paper we propose a unique simulation framework which accurately represents the consumption habits of the computing devices and, as our results show, provide a more realistic picture of the impact of efficiency measures both on consumer impact and on efficiency response.