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电力大数据:2018,21(12):-
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国外电力企业大数据需求侧应用分析
张全,齐红涛,刘鲲鹏,杨菁,宫立华,朱龙珠
(国网客服中心服务考评部 天津,国网安徽省电力有限公司芜湖供电公司,国网客服中心服务考评部 天津,国网客服中心服务考评部 天津,国网客服中心服务考评部 天津,国网客服中心服务考评部 天津)
Analysis of big data demand side application of foreign power enterprises
Zhangquan,Qihongtao,Liukunpeng,Yangjing,Gonglihua and Zhulongzhu
(Service Evaluation Department of State Grid Customer Service Center,Wuhu Power Supply Company,Anhui electric power company,State Grid,Service Evaluation Department of State Grid Customer Service Center,Service Evaluation Department of State Grid Customer Service Center,Service Evaluation Department of State Grid Customer Service Center,Service Evaluation Department of State Grid Customer Service Center)
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投稿时间:2018-07-10    修订日期:2018-11-02
中文摘要: 针对大数据技术的研究和实际应用,总结了国外企业大数据技术的实际应用现状。在国外企业大数据需求侧管理应用中,介绍了法国电力公司、美国巴尔的摩燃气电力公司、美国南加州爱迪生电力公司和德国意昂电力公司四大能源企业大数据技术的应用主题和管理模式。通过上述介绍,在数据平台建设、数据管理和数据分析应用三个方面总结了各类大数据应用的启示,即集中建设统一大数据平台,并采用云部署方式是企业目前大数据平台建设的主流方式;统一数据标准规范有利于数据共享与数据管控,实现数据资源价值最大化;大数据分析应用有两个特点:一是大数据分析应用应紧紧围绕业务需求,以专业级应用为重心,配备充足的人力资源,准确聚焦业务痛点,快速解决业务实际问题。二是企业应结合业务特点和发展要求开展基础技术和基础应用方面的研究,为专业级分析应用提供服务和支撑。
Abstract:In view of the research and practical application of big data technology, the actual application status of big data technology is summarized. In the application of big data demand side management in foreign enterprises, the application theme and management mode of the big data technology of four big energy enterprises of France electric power company, Baltimore gas electric company of the United States, the Edison Co of the southern California and the German eon electric power company are introduced. Through the above introduction, this paper summarizes the enlightenment of all kinds of big data applications in three aspects of data platform construction, data management and data analysis, that is to focus on building a unified big data platform, and using the cloud deployment method as the mainstream method for the construction of big data platform at present, and the unified data standard specification is beneficial to data sharing and Data management and control to maximize the value of data resources; the application of big data analysis has two characteristics: firstly, big data analysis and application should be closely related to business needs, with professional application as the center of gravity, equipped with sufficient human resources, accurate focus of business pain points, and quickly solve business problems. Secondly, enterprises should carry out research on basic technology and basic application in combination with business characteristics and development requirements, and provide services and support for professional level analysis applications.
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