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dc.contributor.authorAlfaverh, Fayiz
dc.contributor.authorDenai, Mouloud
dc.contributor.authorSun, Yichuang
dc.date.accessioned2023-09-05T10:15:02Z
dc.date.available2023-09-05T10:15:02Z
dc.date.issued2023-06-16
dc.identifier.citationAlfaverh , F , Denai , M & Sun , Y 2023 , ' User Comfort-Oriented Home Energy Management System Under Demand Response ' , Paper presented at 2023 IEEE IAS Global Conference on Emerging Technologies , Loughborough , United Kingdom , 19/05/23 - 21/05/23 pp. 1-7 . https://doi.org/10.1109/GlobConET56651.2023.10150106
dc.identifier.citationconference
dc.identifier.urihttp://hdl.handle.net/2299/26625
dc.description© 2023 IEEE. This is the accepted manuscript version of a conference which has been published in final form at https://doi.org/10.1109/GlobConET56651.2023.10150106
dc.description.abstractHome Energy Management Systems (HEMS) play a crucial role in empowering residential consumers to actively engage in Demand Response (DR) programs by controlling their consumption and reducing or shifting their consumption outside periods of grid stress in response to financial rewards such as tax breaks or rebates. However, DR trials across the world have shown that most of the customers remain reluctant to enroll into these programs due to undesirable power disruptions and strict guidelines imposed by utilities, resulting in inconvenience for users. In this paper, a human comfort-based control approach is proposed for HEMS to stimulate the active participation of residential customers in DR. The aim of this proposed algorithm is to minimize the household load demands by scheduling the operation of household appliances and shifting controllable loads during periods when electricity prices are high, to off-peak periods, when electricity prices are lower without compromising the customer's preferences. The simulation results demonstrate the effectiveness of the proposed DR strategy in managing the daily household energy consumption and improving the occupants' comfort.en
dc.format.extent7
dc.format.extent1310896
dc.language.isoeng
dc.relation.ispartof
dc.subjectdemand response
dc.subjecthome energy management system
dc.subjecthuman comfort factors
dc.subjectsmart home
dc.subjectArtificial Intelligence
dc.subjectComputer Vision and Pattern Recognition
dc.subjectInformation Systems and Management
dc.subjectEnergy Engineering and Power Technology
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectElectrical and Electronic Engineering
dc.subjectSafety, Risk, Reliability and Quality
dc.subjectControl and Optimization
dc.titleUser Comfort-Oriented Home Energy Management System Under Demand Responseen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCentre for Future Societies Research
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85164258558&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1109/GlobConET56651.2023.10150106
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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