Affiliations: Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, Tamilnadu, India
Correspondence:
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Corresponding author. M. Firdouse Ali Khan, Department of Electronics and Communication Engineering, SSN College of Engineering, Chennai, Tamilnadu, India. E-mail: [email protected].
Abstract: Under demand response enabled demand-side management, the home energy management (HEM) schemes schedule appliances for balancing both energy and demand within a residence. This scheme enables the user to achieve either a minimum electricity bill (EB) or maximum comfort. There is always the added burden on a HEM scheme to obtain the least possible EB with comfort. However, if a time window that contains comfortable time slots of the day for an appliance operation, is identified, and if the cost-effective schedule-pattern gets generated from these windows autonomously, then the burden can be reduced. Therefore, this paper proposes a two-level method that can assist the HEM scheme by generating a cost-effective schedule-pattern for scheduling home appliances. The first level uses a classifier to identify the comfortable time window from past ON and OFF events. The second level uses pattern generation algorithms to generate a cost-effective schedule-pattern from the identified window. The generated cost-effective schedule-pattern is applied to a HEM scheme as input to demonstrate the proposed two-level approach. The simulation results exhibit that the proposed approach helps the HEM scheme to schedule home appliances cost-effectively with a satisfactory user-comfort between 90% and 100%.
Keywords: Appliance scheduling, home energy management, Naïve Bayes classifier, pattern generation algorithm, user comfort
