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Canonical Correlation Analysis and Visualization for Big Data in Smart Grid

  • Published:2023-09 Issue:3 Volume:13 Page:702-711
  • ISSN:2156-3357
  • Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • language:
  • Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Jiang Zigui1ORCID,Yuan Qihao2ORCID,Lin Rongheng3ORCID,Yang Fangchun3

Affiliation:

1. School of Software Engineering, Sun Yat-sen University, Zhuhai, China

2. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China

3. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Program of Jiangxi Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A systematic review of big data innovations in smart grids;Results in Engineering;2024-06

2. Guest Editorial Complex Cyber-Multitudinal-Physical Systems: Analysis, Decision-Making, and AI Applications;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-09
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