Realistic Scheduling Mechanism for Smart Homes
In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is d...
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Format: | Article |
Language: | English |
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MDPI AG
2016-03-01
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Series: | Energies |
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Online Access: | http://www.mdpi.com/1996-1073/9/3/202 |
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author | Danish Mahmood Nadeem Javaid Nabil Alrajeh Zahoor Ali Khan Umar Qasim Imran Ahmed Manzoor Ilahi |
author_facet | Danish Mahmood Nadeem Javaid Nabil Alrajeh Zahoor Ali Khan Umar Qasim Imran Ahmed Manzoor Ilahi |
author_sort | Danish Mahmood |
collection | DOAJ |
description | In this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is divided into four logical sub-time slots, each composed of 360 min or 6 h. In these sub-time slots, only desired appliances (with respect to appliance classification) are scheduled to raise appliance utility, restricting power consumption by a dynamically modelled power usage limiter that does not only take the electricity consumer into account but also the electricity supplier. Once appliance, time and power usage limiter modelling is done, we use a nature-inspired heuristic algorithm, Binary Particle Swarm Optimization (BPSO), optimally to form schedules with given constraints representing each sub-time slot. These schedules tend to achieve an equilibrium amongst appliance utility and cost effectiveness. For validation of the proposed RSM, we provide a comparative analysis amongst unscheduled electrical load usage, scheduled directly by BPSO and RSM, reflecting user comfort, which is based upon cost effectiveness and appliance utility. |
first_indexed | 2024-04-13T08:01:44Z |
format | Article |
id | doaj.art-a497672ffc6c41a59cc9838e83c9a1f7 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-04-13T08:01:44Z |
publishDate | 2016-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-a497672ffc6c41a59cc9838e83c9a1f72022-12-22T02:55:16ZengMDPI AGEnergies1996-10732016-03-019320210.3390/en9030202en9030202Realistic Scheduling Mechanism for Smart HomesDanish Mahmood0Nadeem Javaid1Nabil Alrajeh2Zahoor Ali Khan3Umar Qasim4Imran Ahmed5Manzoor Ilahi6COMSATS Institute of Information Technology, Islamabad 44000, PakistanCOMSATS Institute of Information Technology, Islamabad 44000, PakistanCollege of Applied Medical Sciences, Department of Biomedical Technology, King Saud University, Riyadh 11633, Saudi ArabiaInternetworking Program, Faculty of Engineering, Dalhousie University, Halifax, NS B3J 4R2, CanadaCameron Library, University of Alberta, Edmonton, AB T6G 2J8, CanadaInstitute of Management Sciences (IMS), Peshawar 25000, PakistanCOMSATS Institute of Information Technology, Islamabad 44000, PakistanIn this work, we propose a Realistic Scheduling Mechanism (RSM) to reduce user frustration and enhance appliance utility by classifying appliances with respective constraints and their time of use effectively. Algorithms are proposed regarding functioning of home appliances. A 24 hour time slot is divided into four logical sub-time slots, each composed of 360 min or 6 h. In these sub-time slots, only desired appliances (with respect to appliance classification) are scheduled to raise appliance utility, restricting power consumption by a dynamically modelled power usage limiter that does not only take the electricity consumer into account but also the electricity supplier. Once appliance, time and power usage limiter modelling is done, we use a nature-inspired heuristic algorithm, Binary Particle Swarm Optimization (BPSO), optimally to form schedules with given constraints representing each sub-time slot. These schedules tend to achieve an equilibrium amongst appliance utility and cost effectiveness. For validation of the proposed RSM, we provide a comparative analysis amongst unscheduled electrical load usage, scheduled directly by BPSO and RSM, reflecting user comfort, which is based upon cost effectiveness and appliance utility.http://www.mdpi.com/1996-1073/9/3/202Home Energy Management System (HEMS)appliance schedulingBinary Particle Swarm Optimization (BPSO)user comfortappliance classificationDemand Response (DR) programstime of use pricingDemand Side Management (DSM) |
spellingShingle | Danish Mahmood Nadeem Javaid Nabil Alrajeh Zahoor Ali Khan Umar Qasim Imran Ahmed Manzoor Ilahi Realistic Scheduling Mechanism for Smart Homes Energies Home Energy Management System (HEMS) appliance scheduling Binary Particle Swarm Optimization (BPSO) user comfort appliance classification Demand Response (DR) programs time of use pricing Demand Side Management (DSM) |
title | Realistic Scheduling Mechanism for Smart Homes |
title_full | Realistic Scheduling Mechanism for Smart Homes |
title_fullStr | Realistic Scheduling Mechanism for Smart Homes |
title_full_unstemmed | Realistic Scheduling Mechanism for Smart Homes |
title_short | Realistic Scheduling Mechanism for Smart Homes |
title_sort | realistic scheduling mechanism for smart homes |
topic | Home Energy Management System (HEMS) appliance scheduling Binary Particle Swarm Optimization (BPSO) user comfort appliance classification Demand Response (DR) programs time of use pricing Demand Side Management (DSM) |
url | http://www.mdpi.com/1996-1073/9/3/202 |
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