李可军
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Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy
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Affiliation of Author(s): : 电气工程学院

Title of Paper: : Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy

First Author: : 高弋典

Document Code: : 5450F696702F4C8E91AC44E8813CD79F

Number of Words: : 6

Translation or Not: : no

Date of Publication: : 2023-10-29

Personal information

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates

Gender : Male

Education Level : Postgraduate (Postdoctoral)

Degree : Doctoral Degree in Engineering

Status : Employed

School/Department : 电气工程学院

Date of Employment : 1994-07-01

Discipline:Power System and Automation

Business Address : 山东大学千佛山校区 教学五号楼328室

Email : lkjun@sdu.edu.cn

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