Few-Shot Metering Anomaly Diagnosis with Variable Relation Mining

Few-Shot Metering Anomaly Diagnosis with Variable Relation Mining

Metering anomalies not only mean huge economic losses but also indicate the faults of equipment and power lines, especially within the substation. As a result, metering anomaly diagnosis is becoming one of the most important missions in smart grids. However, due to the insufficient and imbalanced an...

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Bibliographic Details
Main Authors:	Jianqiao Sun, Wei Zhang, Peng Guo, Xunan Ding, Chaohui Wang, Fei Wang
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Energies
Subjects:	fault diagnosis metering anomaly diagnosis smart grid few-shot learning deep learning
Online Access:	https://www.mdpi.com/1996-1073/17/5/993

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