Residence Energy Control System Based on Wireless Smart Socket and IoT
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsai, Kun-Lin | - |
dc.contributor.author | Leu, Fang-Yie | - |
dc.contributor.author | You, Ilsun | - |
dc.date.accessioned | 2021-08-11T18:45:41Z | - |
dc.date.available | 2021-08-11T18:45:41Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/9909 | - |
dc.description.abstract | To 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.extent | 10 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Residence Energy Control System Based on Wireless Smart Socket and IoT | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ACCESS.2016.2574199 | - |
dc.identifier.scopusid | 2-s2.0-84979802746 | - |
dc.identifier.wosid | 000402029800001 | - |
dc.identifier.bibliographicCitation | IEEE Access, v.4, pp 2885 - 2894 | - |
dc.citation.title | IEEE Access | - |
dc.citation.volume | 4 | - |
dc.citation.startPage | 2885 | - |
dc.citation.endPage | 2894 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | MANAGEMENT | - |
dc.subject.keywordPlus | IMPLEMENTATION | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordAuthor | Energy control system | - |
dc.subject.keywordAuthor | Internet of Things (IoT) | - |
dc.subject.keywordAuthor | neural network | - |
dc.subject.keywordAuthor | smart socket | - |
dc.subject.keywordAuthor | smart living | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(31538) 22, Soonchunhyang-ro, Asan-si, Chungcheongnam-do, Republic of Korea+82-41-530-1114
COPYRIGHT 2021 by SOONCHUNHYANG UNIVERSITY ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.