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Institution:电气工程学院
Title of Paper:Maximum Frequency Deviation Assessment with Clustering based on Metric Learning
Journal:INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
First Author:Charles Li
Document Code:DA78C2CE0E5A4A39A2CA1E6612C08E32
Volume:120
Issue:9
Page Number:105980
Number of Words:6
Translation or Not:No
Date of Publication:2020-09
Release Time:2020-09-15