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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:2023-01-08 | 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 Smart Grid

First Author:吕天光

Document Code:45CBE3D5FB2E469F9689354712EA93E2

Issue:5

Translation or Not:No

Date of Publication:2022-09