CAJ | 학술논문

首先对大数据进行了阐述，进而讨论了大数据时代下电力企业面临的巨大挑战；在此基础上指出在电力大数据时代下利用数据挖掘技术对电力企业产生的巨大影响；然后通过描述数据挖掘技术的一系列步骤，指出了电力大数据时代下，数据挖掘技术在电力企业的实现途径；最后，从智能电网、电力客户关系管理、信息系统的发展以及能耗问题等四方面论述了大数据时代下数据挖掘技术在电力企业中的应用前景。
수선대대수거진행료천술，진이토론료대수거시대하전력기업면림적거대도전；재차기출상지출재전력대수거시대하이용수거알굴기술대전력기업산생적거대영향；연후통과묘술수거알굴기술적일계렬보취，지출료전력대수거시대하，수거알굴기술재전력기업적실현도경；최후，종지능전망、전력객호관계관리、신식계통적발전이급능모문제등사방면논술료대수거시대하수거알굴기술재전력기업중적응용전경。
Firstly this paper explains big data and then discusses great challenges for electric power enterprises in era of big data. Furthermore,great impact on electric power enterprises in era big data by using data mining technology was pointed out. Then,by describing series of steps of data mining technology,realization approach of data mining technology in electric power enterprises in era of big data was proposed. In aspects of smart grid,management on electric power customer rela-tionship,development of information system and energy consumption,application prospect of data mining technology in era big data in electric power enterprises was discussed.