Intelligent system for determining the consumer profile and generate alarm in case of significant deviations from the profile

A. Mazare, L. Ionescu, D. Vişan, N. Belu, I. Lita, T. Eilks, V. Stan, C. Colceriu
{"title":"Intelligent system for determining the consumer profile and generate alarm in case of significant deviations from the profile","authors":"A. Mazare, L. Ionescu, D. Vişan, N. Belu, I. Lita, T. Eilks, V. Stan, C. Colceriu","doi":"10.1109/SIITME.2017.8259926","DOIUrl":null,"url":null,"abstract":"Electricity transmission networks have undergone significant changes over time but especially in the last decade through the emergence of small suppliers of electricity from unconventional sources but also through the emergence of new consumers. In this context, electricity consumption monitoring systems have also evolved from standard meters to smart meters and smart grids. The solution which we propose in this paper brings several improvements to smart metering systems that exist in commercial solutions or in other works papers. Our proposed solution uses a fully autonomous, easy-to-install monitoring system which can be installed at different points in the power transmission network. The acquired data are analyzed by a high-level analysis system based on artificial intelligence (ANN). This allows the automatic identification of a one-day consumer profile. Further, by continuing the monitoring, it is possible to identify deviations from that profile and trigger alarms in this case. The solution can be used to detect potential fraud or unintended loss of energy that may occur because of malfunction of some devices.","PeriodicalId":138347,"journal":{"name":"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME.2017.8259926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Electricity transmission networks have undergone significant changes over time but especially in the last decade through the emergence of small suppliers of electricity from unconventional sources but also through the emergence of new consumers. In this context, electricity consumption monitoring systems have also evolved from standard meters to smart meters and smart grids. The solution which we propose in this paper brings several improvements to smart metering systems that exist in commercial solutions or in other works papers. Our proposed solution uses a fully autonomous, easy-to-install monitoring system which can be installed at different points in the power transmission network. The acquired data are analyzed by a high-level analysis system based on artificial intelligence (ANN). This allows the automatic identification of a one-day consumer profile. Further, by continuing the monitoring, it is possible to identify deviations from that profile and trigger alarms in this case. The solution can be used to detect potential fraud or unintended loss of energy that may occur because of malfunction of some devices.
智能系统,用于确定消费者的轮廓,并在明显偏离轮廓时产生报警
随着时间的推移,电力传输网络经历了重大变化,特别是在过去十年中,通过非传统来源的小型电力供应商的出现,以及通过新的消费者的出现。在此背景下,用电量监测系统也从标准电表发展到智能电表和智能电网。我们在本文中提出的解决方案为存在于商业解决方案或其他工作论文中的智能计量系统带来了一些改进。我们提出的解决方案使用一个完全自主的、易于安装的监控系统,该系统可以安装在输电网络的不同点上。采集的数据由基于人工智能(ANN)的高级分析系统进行分析。这允许自动识别一天的消费者配置文件。此外,通过继续监视,可以识别出与该概要文件的偏差,并在这种情况下触发警报。该解决方案可用于检测由于某些设备故障而可能发生的潜在欺诈或意外的能量损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信