Evaluation of the standard uncertainty in estimating the trend of parameters characterizing the operation of power systems

L. Peretto, R. Sasdelli, R. Tinarelli, G. Luculano
{"title":"Evaluation of the standard uncertainty in estimating the trend of parameters characterizing the operation of power systems","authors":"L. Peretto, R. Sasdelli, R. Tinarelli, G. Luculano","doi":"10.1109/IMTC.2003.1208221","DOIUrl":null,"url":null,"abstract":"A In a previous work, the authors presented a statistical model for estimating functions that represent the trend of electrical quantities over long time intervals. The model aIIows the estimators of the above functions be determined by acquiring and processing o limited antounf of dafa The theoretical study of the sfandard uncertainry associated to the results provided by the recalled strafegy is dealt wifh in this paper. An application example is ulso reported, where both the sfatisticol model and fhe achievemenis of the present study are applied to data obfained during infield measuremenfs. The resulfs show the correcfness of the study.","PeriodicalId":135321,"journal":{"name":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th IEEE Instrumentation Technology Conference (Cat. No.03CH37412)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2003.1208221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A In a previous work, the authors presented a statistical model for estimating functions that represent the trend of electrical quantities over long time intervals. The model aIIows the estimators of the above functions be determined by acquiring and processing o limited antounf of dafa The theoretical study of the sfandard uncertainry associated to the results provided by the recalled strafegy is dealt wifh in this paper. An application example is ulso reported, where both the sfatisticol model and fhe achievemenis of the present study are applied to data obfained during infield measuremenfs. The resulfs show the correcfness of the study.
电力系统运行参数趋势估计的标准不确定度评定
在以前的工作中,作者提出了一个统计模型,用于估计代表长时间间隔内电量趋势的函数。该模型允许通过获取和处理有限数量的数据来确定上述函数的估计量。本文对召回策略提供的结果的标准不确定度进行了理论研究。最后给出了一个应用实例,将统计模型和本文的研究成果应用于内场测量中获得的数据。结果表明了研究的正确性。
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