非侵入式监测杂项和电子负载

Michael Zeifman, C. Akers, K. Roth
{"title":"非侵入式监测杂项和电子负载","authors":"Michael Zeifman, C. Akers, K. Roth","doi":"10.1109/ICCE.2015.7066424","DOIUrl":null,"url":null,"abstract":"A new method is proposed for monitoring miscellaneous and electronic loads (MELs) in a household. In this method, the current signal obtained at a main breaker or circuit level is disaggregated by detection of transients and classification of the waveforms. The classification is realized by probabilistic fusion of a harmonics-based classifier and a multivariate statistical technique. The results demonstrate the feasibility of the proposed method.","PeriodicalId":169402,"journal":{"name":"2015 IEEE International Conference on Consumer Electronics (ICCE)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Nonintrusive monitoring of miscellaneous and electronic loads\",\"authors\":\"Michael Zeifman, C. Akers, K. Roth\",\"doi\":\"10.1109/ICCE.2015.7066424\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new method is proposed for monitoring miscellaneous and electronic loads (MELs) in a household. In this method, the current signal obtained at a main breaker or circuit level is disaggregated by detection of transients and classification of the waveforms. The classification is realized by probabilistic fusion of a harmonics-based classifier and a multivariate statistical technique. The results demonstrate the feasibility of the proposed method.\",\"PeriodicalId\":169402,\"journal\":{\"name\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"223 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2015.7066424\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2015.7066424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

提出了一种监测家庭杂项负荷和电子负荷的新方法。在这种方法中,通过瞬态检测和波形分类对主断路器或电路级获得的电流信号进行分解。该分类方法采用基于谐波的分类器和多元统计技术的概率融合实现。结果表明了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Nonintrusive monitoring of miscellaneous and electronic loads
A new method is proposed for monitoring miscellaneous and electronic loads (MELs) in a household. In this method, the current signal obtained at a main breaker or circuit level is disaggregated by detection of transients and classification of the waveforms. The classification is realized by probabilistic fusion of a harmonics-based classifier and a multivariate statistical technique. The results demonstrate the feasibility of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Lua-based self-management framework for Internet of Things Indoor location technique based on visible light communications and ultrasound emitters LDA-based face recognition using multiple distance training face images with low user cooperation Fast and efficient haze removal Fast and robust camera's auto exposure control using convex or concave model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1