CAJ | 학술논문

通过分析大数据的发展形势和最新研究成果，构建了大数据在电力需求侧的应用模型，以提升电力企业对电力客户的认知水平，以及电力企业的综合管理水平和经营效益。该模型以不低于6次/h 的频率进行数据采集，通过电网现有光纤信道和无线宽带进行数据传输，利用云存储、数据消冗技术、数据压缩技术进行数据存储，利用云计算处理技术与传统数据处理技术结合进行数据挖掘，从而得出电力需求侧分析结果，用于指导电力企业的生产、销售、服务，并通过反馈机制，对国家政策、外部环境等产生积极的影响，从而使该模型不断自我适应。
통과분석대수거적발전형세화최신연구성과，구건료대수거재전력수구측적응용모형，이제승전력기업대전력객호적인지수평，이급전력기업적종합관리수평화경영효익。해모형이불저우6차/h 적빈솔진행수거채집，통과전망현유광섬신도화무선관대진행수거전수，이용운존저、수거소용기술、수거압축기술진행수거존저，이용운계산처리기술여전통수거처리기술결합진행수거알굴，종이득출전력수구측분석결과，용우지도전력기업적생산、소수、복무，병통과반궤궤제，대국가정책、외부배경등산생적겁적영향，종이사해모형불단자아괄응。
This paper analyzes the development situation of and the latest research achievements on big data, and proposes an application model of big data in power demand side to help electric power enterprises improve in respects of the cognitive level about electricity customers,the comprehensive management level and opera-tional performance.This model will collect data with a frequency of no less than 6 times/h,transfer data through the optical fiber channel and wireless broadband existing in power grid,store data using cloud technol-ogy,data redundancy technology and data compression technology,and mine data by combining cloud compu-ting technology with traditional data processing technologies.The power demand side analysis results could be used to guide electric power generation,sales and service.The feedback in this model would positively impact on national industrial policy and other outside circumstances to make this model self-adaptive continuously.