家用智能电表:使用NIALM识别电器的创新方法

S. Semwal, M. Badoni, N. Saxena
{"title":"家用智能电表:使用NIALM识别电器的创新方法","authors":"S. Semwal, M. Badoni, N. Saxena","doi":"10.1109/WITCONECE48374.2019.9092936","DOIUrl":null,"url":null,"abstract":"A country drives by their people and the electricity energy, the availability of the electricity power reflects the strength of that country. All most everything depends on the electricity energy, So it is become very important that we use the available energy very efficiently, and here the energy management come in the picture and Non Intrusive appliance Load monitoring (NIALM) is the part of energy management, in which the energy consumption by the particular load is monitored without any intrusion of wire/circuit. In literature, NIALM has been discussed as a monitoring process for conservation of energy using single point sensing (SPS) for extraction of aggregate signal of the appliances’ features, ignoring the second function of demand response (DR) assuming that it would be manual or sensor-based. This assumption is not implementable in developing countries like India, because of requirement of extra cost of sensors, and privacy concerns. Surprisingly, despite decades of research on NIALM, none of the suggested procedures has resulted in commercial application. This paper highlights the causes behind non- commercialization, and proposes a viable and easy solution worthy of commercial exploitation both for monitoring and DR management for outage reduction in respect of Indian domestic consumers. Using a approach of multi point sensing (MPS), combined with Independent Component Analysis (ICA), experiments has been done in laboratory environment and CPWD specification has been followed.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart Meters for Domestic Consumers: Innovative Methods for Identifying Appliances using NIALM\",\"authors\":\"S. Semwal, M. Badoni, N. Saxena\",\"doi\":\"10.1109/WITCONECE48374.2019.9092936\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A country drives by their people and the electricity energy, the availability of the electricity power reflects the strength of that country. All most everything depends on the electricity energy, So it is become very important that we use the available energy very efficiently, and here the energy management come in the picture and Non Intrusive appliance Load monitoring (NIALM) is the part of energy management, in which the energy consumption by the particular load is monitored without any intrusion of wire/circuit. In literature, NIALM has been discussed as a monitoring process for conservation of energy using single point sensing (SPS) for extraction of aggregate signal of the appliances’ features, ignoring the second function of demand response (DR) assuming that it would be manual or sensor-based. This assumption is not implementable in developing countries like India, because of requirement of extra cost of sensors, and privacy concerns. Surprisingly, despite decades of research on NIALM, none of the suggested procedures has resulted in commercial application. This paper highlights the causes behind non- commercialization, and proposes a viable and easy solution worthy of commercial exploitation both for monitoring and DR management for outage reduction in respect of Indian domestic consumers. Using a approach of multi point sensing (MPS), combined with Independent Component Analysis (ICA), experiments has been done in laboratory environment and CPWD specification has been followed.\",\"PeriodicalId\":350816,\"journal\":{\"name\":\"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WITCONECE48374.2019.9092936\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WITCONECE48374.2019.9092936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

一个国家靠人民和电力驱动,电力的可用性反映了这个国家的实力。所有的一切都依赖于电能,因此,我们非常有效地利用可用的能源变得非常重要,在这里,能源管理出现了,非侵入式电器负载监测(NIALM)是能源管理的一部分,其中监测特定负载的能源消耗,而不需要任何电线/电路的入侵。在文献中,NIALM已被讨论为使用单点传感(SPS)提取电器特征的总信号的节能监测过程,忽略了需求响应(DR)的第二个功能,假设它将是手动或基于传感器的。这种假设在印度这样的发展中国家是无法实现的,因为需要额外的传感器成本,以及隐私问题。令人惊讶的是,尽管对NIALM进行了数十年的研究,但所建议的程序中没有一个导致商业应用。本文强调了非商业化背后的原因,并提出了一种可行的、简单的解决方案,值得商业开发,无论是监控还是DR管理,以减少印度国内消费者的停电。采用多点传感(MPS)方法,结合独立成分分析(ICA),在实验室环境下进行了实验,并遵循了CPWD规范。
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
Smart Meters for Domestic Consumers: Innovative Methods for Identifying Appliances using NIALM
A country drives by their people and the electricity energy, the availability of the electricity power reflects the strength of that country. All most everything depends on the electricity energy, So it is become very important that we use the available energy very efficiently, and here the energy management come in the picture and Non Intrusive appliance Load monitoring (NIALM) is the part of energy management, in which the energy consumption by the particular load is monitored without any intrusion of wire/circuit. In literature, NIALM has been discussed as a monitoring process for conservation of energy using single point sensing (SPS) for extraction of aggregate signal of the appliances’ features, ignoring the second function of demand response (DR) assuming that it would be manual or sensor-based. This assumption is not implementable in developing countries like India, because of requirement of extra cost of sensors, and privacy concerns. Surprisingly, despite decades of research on NIALM, none of the suggested procedures has resulted in commercial application. This paper highlights the causes behind non- commercialization, and proposes a viable and easy solution worthy of commercial exploitation both for monitoring and DR management for outage reduction in respect of Indian domestic consumers. Using a approach of multi point sensing (MPS), combined with Independent Component Analysis (ICA), experiments has been done in laboratory environment and CPWD specification has been followed.
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
A Study of Emerging Areas in Adoption of Blockchain Technology and it’s Prospective Challenges in India A Hybrid Approach for Effective ImageDeduplication Using PCA, SPIHT and Compressive Sensing Extreme Learning Machine Approach for Prediction of Forest Fires using Topographical and Metrological Data of Vietnam WITCON ECE 2019 Advisory Committee Bad Data Processing in Electrical Power System using Binary Particle Swarm Optimization
×
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