Analysis, Application and Research of the Index of Urban Resumption of Work and Production Based on Energy Big Data

Wang Wei, Z. Xie, Li Duanchao, Chen Shuo, Xiao Jiakai, Xu Zhong-ping
{"title":"Analysis, Application and Research of the Index of Urban Resumption of Work and Production Based on Energy Big Data","authors":"Wang Wei, Z. Xie, Li Duanchao, Chen Shuo, Xiao Jiakai, Xu Zhong-ping","doi":"10.1109/AUTEEE50969.2020.9315585","DOIUrl":null,"url":null,"abstract":"At present, the energy enterprises have realized the improvement of energy management by using their own energy data acquisition, analysis and application system, but there is information island phenomenon among the systems. With the diversification of enterprise energy consumption, the fusion analysis of various energy data becomes more and more important. The analysis only based on power data cannot provide comprehensive and accurate decision-making basis for the government and energy enterprises. In this paper, the energy big data center collects and fuses the data of electricity, water, gas and heat by using the index system analysis model of urban work and production resumption of work and production, analyzing and comparing the overall situation in Hefei with different regions and different industries in previous years, so as to effectively supports the scientific formulation of government policies.","PeriodicalId":6767,"journal":{"name":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","volume":"1 1","pages":"428-432"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEEE50969.2020.9315585","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

At present, the energy enterprises have realized the improvement of energy management by using their own energy data acquisition, analysis and application system, but there is information island phenomenon among the systems. With the diversification of enterprise energy consumption, the fusion analysis of various energy data becomes more and more important. The analysis only based on power data cannot provide comprehensive and accurate decision-making basis for the government and energy enterprises. In this paper, the energy big data center collects and fuses the data of electricity, water, gas and heat by using the index system analysis model of urban work and production resumption of work and production, analyzing and comparing the overall situation in Hefei with different regions and different industries in previous years, so as to effectively supports the scientific formulation of government policies.
基于能源大数据的城市复工复产指标分析、应用与研究
目前,能源企业已经通过自己的能源数据采集、分析和应用系统实现了能源管理的提升,但系统之间存在信息孤岛现象。随着企业能源消费的多样化,各种能源数据的融合分析变得越来越重要。仅基于电力数据的分析无法为政府和能源企业提供全面、准确的决策依据。本文能源大数据中心利用城市工作和复工复产的指标体系分析模型,对电、水、气、热数据进行采集和融合,对合肥市往年与不同地区、不同行业的总体情况进行分析比较,从而有效支持政府政策的科学制定。
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