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Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:电气工程学院

Lu Tianguang

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Gender:Male

Education Level:Postgraduate (Doctoral)

Alma Mater:上海交通大学

Paper Publications

An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining
Release Time:2025-01-07 | Hits:

Institution:电气工程学院

Title of Paper:An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining

Journal:IEEE Transactions on Power Systems

First Author:王邵瑞

Document Code:A278D89C889641B9BB6A60E4C49A531A

Volume:39

Issue:4

Page Number:5548

Translation or Not:No

Date of Publication:2024-07