Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/185
Title: An Appliance Scheduling System for Residential Energy Management
Authors: Apaydın-Özkan, Hanife
Keywords: residential energy management
appliance scheduling
peak demand
user comfort
brute-force closest pair
Issue Date: 2021
Publisher: Mdpi
Abstract: In this work, an Appliance Scheduling-based Residential Energy Management System (AS-REMS) for reducing electricity cost and avoiding peak demand while keeping user comfort is presented. In AS-REMS, based on the effects of starting times of appliances on user comfort and the user attendance during their operations, appliances are divided into two classes in terms of controllability: MC-controllable (allowed to be scheduled by the Main Controller) and user-controllable (allowed to be scheduled only by a user). Use of all appliances are monitored in the considered home for a while for recording users' appliance usage preferences and habits on each day of the week. Then, for each MC-controllable appliance, preferred starting times are determined and prioritized according to the recorded user preferences on similar days. When scheduling, assigned priorities of starting times of these appliances are considered for maintaining user comfort, while the tariff rate is considered for reducing electricity cost. Moreover, expected power consumptions of user-controllable appliances corresponding to the recorded user habits and power consumptions of MC-controllable appliances corresponding to the assigned starting times are considered for avoiding peak demand. The corresponding scheduling problem is solved by Brute-Force Closest Pair method. AS-REMS reduces the peak demand levels by 45% and the electricity costs by 39.6%, while provides the highest level of user comfort by 88%. Thus, users' appliance usage preferences are sustained at a lower cost while their comfort is kept impressively.
URI: https://doi.org/10.3390/s21093287
https://hdl.handle.net/20.500.13087/185
ISSN: 1424-8220
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