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Residence Energy Control System Based on Wireless Smart Socket and IoT

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dc.contributor.authorTsai, Kun-Lin-
dc.contributor.authorLeu, Fang-Yie-
dc.contributor.authorYou, Ilsun-
dc.date.accessioned2021-08-11T18:45:41Z-
dc.date.available2021-08-11T18:45:41Z-
dc.date.issued2016-
dc.identifier.issn2169-3536-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/9909-
dc.description.abstractTo avoid resources on green earth being exhausted much earlier by human beings, energy saving has been one of the key issues in our everyday lives. In fact, energy control for some appliances is an effective method to save energy at home, since it prevents users from consuming too much energy. Even though there are numerous commercial energy-effective products that are helpful in energy saving for particular appliances, it is still hard to find a comprehensive solution to effectively reduce appliances' energy consumption in a house. Therefore, in this paper, an intelligent energy control scheme, named the residence energy control system (RECoS) is proposed, which is developed based on wireless smart socket and Internet of Things technology to minimize energy consumption of home appliances without deploying sensors. The RECoS provides four control modes, including peak-time control, energy-limit control, automatic control, and user control. The former two are operated for all smart sockets in a house, while the latter two are used by individual smart sockets, aiming to enhance the functionality of energy control. The experimental results show that the proposed scheme can save up to 43.4% of energy for some appliances in one weekday.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleResidence Energy Control System Based on Wireless Smart Socket and IoT-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/ACCESS.2016.2574199-
dc.identifier.scopusid2-s2.0-84979802746-
dc.identifier.wosid000402029800001-
dc.identifier.bibliographicCitationIEEE Access, v.4, pp 2885 - 2894-
dc.citation.titleIEEE Access-
dc.citation.volume4-
dc.citation.startPage2885-
dc.citation.endPage2894-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusMANAGEMENT-
dc.subject.keywordPlusIMPLEMENTATION-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordAuthorEnergy control system-
dc.subject.keywordAuthorInternet of Things (IoT)-
dc.subject.keywordAuthorneural network-
dc.subject.keywordAuthorsmart socket-
dc.subject.keywordAuthorsmart living-
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