Construction of Intelligent Evaluation Model of Power Informatization Monitoring Platform

Zhongzheng Tong, Yangzi Sun, Jie-sheng Zheng, Jun Lin
{"title":"Construction of Intelligent Evaluation Model of Power Informatization Monitoring Platform","authors":"Zhongzheng Tong, Yangzi Sun, Jie-sheng Zheng, Jun Lin","doi":"10.1109/CICED50259.2021.9556701","DOIUrl":null,"url":null,"abstract":"The traditional intelligent evaluation model of power informatization monitoring platform has the defect of large evaluation error. Therefore, the intelligent evaluation model of electric power information monitoring platform is researched. The neural network is adopted for processing of the electric power information monitoring platform data to obtain the data characteristics. %ased on the characteristics, the intelligent evaluation network of electric power information monitoring platform is constructed to establish the intelligent evaluation model of electric power information monitoring platform. The constructed intelligent evaluation model of electric power information monitoring platform is adopted for the intelligent evaluation of electric power information monitoring platform. The e[periment shows that the evaluation error of the intelligent evaluation model of established electric power information monitoring platform is 2 less than that of the traditional model, which sufficiently describes that the intelligent evaluation model of established electric power information monitoring platform owns better evaluation performance.","PeriodicalId":221387,"journal":{"name":"2021 China International Conference on Electricity Distribution (CICED)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 China International Conference on Electricity Distribution (CICED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICED50259.2021.9556701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The traditional intelligent evaluation model of power informatization monitoring platform has the defect of large evaluation error. Therefore, the intelligent evaluation model of electric power information monitoring platform is researched. The neural network is adopted for processing of the electric power information monitoring platform data to obtain the data characteristics. %ased on the characteristics, the intelligent evaluation network of electric power information monitoring platform is constructed to establish the intelligent evaluation model of electric power information monitoring platform. The constructed intelligent evaluation model of electric power information monitoring platform is adopted for the intelligent evaluation of electric power information monitoring platform. The e[periment shows that the evaluation error of the intelligent evaluation model of established electric power information monitoring platform is 2 less than that of the traditional model, which sufficiently describes that the intelligent evaluation model of established electric power information monitoring platform owns better evaluation performance.
电力信息化监测平台智能评估模型的构建
传统的电力信息化监测平台智能评估模型存在评估误差大的缺陷。为此,对电力信息监测平台的智能评估模型进行了研究。采用神经网络对电力信息监测平台数据进行处理,获取数据特征。根据电力信息监测平台的特点,构建电力信息监测平台智能评估网络,建立电力信息监测平台智能评估模型。采用构建的电力信息监测平台智能评估模型,对电力信息监测平台进行智能评估。实验表明,建立的电力信息监测平台智能评估模型的评估误差比传统模型的评估误差小2,充分说明建立的电力信息监测平台智能评估模型具有更好的评估性能。
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