Institution:电气工程学院
Title of Paper:Data-Driven Based FDIAs Detection and Sensitive Feature Identification for Cyberattack Defending of Renewable Energy
Journal:2023 IEEE Industry Applications Society Annual Meeting, IAS 2023, 2023
First Author:高弋典
Document Code:5450F696702F4C8E91AC44E8813CD79F
Number of Words:6
Translation or Not:No
Date of Publication:2023-10
Release Time:2024-12-28
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
Faculty/School : School of Electrical Engineering
Discipline:Power System and Automation
Business Address : 山东大学千佛山校区 教学五号楼328室
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