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Temporal Preferences-Based Utility Control for Smart Homes

Intelligent Automation & Soft Computing 2023年第5期36卷 1699-1714页

作者： Salman Naseer Raheela Saleem Muhammad Mudasar Ghafoor Shahzada Khurram Shafiq Ahmad Abdelaty Edrees Sayed Muhammad Shafiq Jin-Ghoo Choi Department of Information Technology University of the PunjabGujranwala Campus52250Pakistan Department of Computer Science Gift UniversityGujranwalaPunjab52250 Pakistan University of the Punjab Jehlum CampusJehlum49600Pakistan Faculty of Computing The Islamia University of BahawalpurBahawalpur63100Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

The residential sector contributes a large part of the energy to the global energy *** date,housing demand has mostly been uncontrollable and inelastic to grid *** the performance of a home energy manage-ment system requires the creation of various proﬁles of real-world residential demand,as residential demand is complex and includes multiple factors such as occupancy,climate,user preferences,and appliance *** Peak Ratio(A2P)is one of the most important parameters when managing an efﬁcient and cost-effective energy *** the household level,the larger relative magni-tudes of certain energy devices make managing this ratio critical,albeit difﬁ*** Demand Response(DR)and Demand Side Management(DSM)systems have been proposed to reduce this ratio to *** main ways to achieve this are economic incentives,user comfort modeling and control,or *** this study,we propose a unique opportunistic social time approach called the Time Utility Based Control Feature(TUBCF),which uses the concept of a utility function from economics to model and control consumer *** propose a DR model for residential customers to reduce Peak-to-Average Ratio(PAR)and improve customer satisfaction by eliminating Appliance Wait Time(WTA)during peak *** PAR reduction and WTA,we propose a system architecture and mathematical *** proposed model automatically schedules devices based on their temporal preferences and considers six households with different device types and operational *** results show that using this strategy can reduce A2P by 80%and improve user comfort during peak hours.

关键词： Temporal preferences utility control ﬁxed priority demand shaping

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