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AuthorAlsalemi, Abdullah
AuthorHimeur, Yassine
AuthorBensaali, Faycal
AuthorAmira, Abbes
Available date2022-12-29T07:34:40Z
Publication Date2021
Publication NameLecture Notes in Networks and Systems
ResourceScopus
URIhttp://dx.doi.org/10.1007/978-3-030-66840-2_71
URIhttp://hdl.handle.net/10576/37785
AbstractHuman population are striving against energy-related issues that not only affects society and the development of the world, but also causes global warming. A variety of broad approaches have been developed by both industry and the research community. However, there is an ever increasing need for comprehensive, end-to-end solutions aimed at transforming human behavior rather than device metrics and benchmarks. In this paper, a micro-moment-based smart plug system is proposed as part of a larger multi-appliance energy efficiency program. The smart plug, which includes two sub-units: the power consumption unit and environmental monitoring unit collect energy consumption of appliances along with contextual information, such as temperature, humidity, luminosity and room occupancy respectively. The plug also allows home automation capability. With the accompanying mobile application, end-users can visualize energy consumption data along with ambient environmental information. Current implementation results show that the proposed system delivers cost-effective deployment while maintaining adequate computation and wireless performance. 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
SponsorThis paper is made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherSpringer Science and Business Media Deutschland GmbH
SubjectDomestic energy usage
Energy efficiency
Internet of things
Micro-moments
Recommender systems
Smart plug
TitleAppliance-Level Monitoring with Micro-Moment Smart Plugs
TypeConference Paper
Pagination942-953
Volume Number183
dc.accessType Abstract Only


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