dc.contributor.author | Alfaverh, Fayiz | |
dc.contributor.author | Denai, Mouloud | |
dc.contributor.author | Sun, Yichuang | |
dc.date.accessioned | 2023-09-05T10:15:02Z | |
dc.date.available | 2023-09-05T10:15:02Z | |
dc.date.issued | 2023-06-16 | |
dc.identifier.citation | Alfaverh , 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.citation | conference | |
dc.identifier.uri | http://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.abstract | Home 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.extent | 7 | |
dc.format.extent | 1310896 | |
dc.language.iso | eng | |
dc.relation.ispartof | | |
dc.subject | demand response | |
dc.subject | home energy management system | |
dc.subject | human comfort factors | |
dc.subject | smart home | |
dc.subject | Artificial Intelligence | |
dc.subject | Computer Vision and Pattern Recognition | |
dc.subject | Information Systems and Management | |
dc.subject | Energy Engineering and Power Technology | |
dc.subject | Renewable Energy, Sustainability and the Environment | |
dc.subject | Electrical and Electronic Engineering | |
dc.subject | Safety, Risk, Reliability and Quality | |
dc.subject | Control and Optimization | |
dc.title | User Comfort-Oriented Home Energy Management System Under Demand Response | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.contributor.institution | Centre for Future Societies Research | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85164258558&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1109/GlobConET56651.2023.10150106 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |