Research on big data applications in Global Energy Interconnection

作     者：Dongxia Zhang Robert Caiming Qiu 

作者机构：China Electric Power Research Institute Shanghai Jiao Tong University Tennesse Technological University 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2018年第1卷第3期

页      面：352-357页

学科分类：12[管理学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0823[工学-交通运输工程] 

基　　金：supported by National High-technology Research and Development Program of China (863 Program) (2015AA050203) the State Grid Science and Technology Project (5442DZ170019-P) 

主　　题：Global Energy Interconnection Big data Clean energy Random matrix theory 

摘      要：Construction of Global Energy Interconnection(GEI) is regarded as an effective way to utilize clean energy and it has been a hot research topic in recent years. As one of the enabling technologies for GEI, big data is accompanied with the sharing, fusion and comprehensive application of energy related data all over the world. The paper analyzes the technology innovation direction of GEI and the advantages of big data technologies in supporting GEI development, and then gives some typical application scenarios to illustrate the application value of big data. Finally, the architecture for applying random matrix theory in GEI is presented.