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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 and Energy Systems
First Author:李华瑞
Document Code:7A8BC734D9934B5E9A7CDDCD3D382539
Volume:120
Number of Words:6
Translation or Not:No
Date of Publication:2020-09
Release Time:2024-01-09