Efficient Framework to Manipulate Data Compression and Classification of Power Quality Disturbances for Distributed Power System

Efficient Framework to Manipulate Data Compression and Classification of Power Quality Disturbances for Distributed Power System

There is some risk of power quality disturbances at many stages of production, transformation, distribution, and energy consumption. The cornerstone for dealing with power quality problems is the characterization of power quality disturbances (PQDs). However, past research has focused on a narrow to...

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Bibliographic Details
Main Authors:	Mariana Syamsudin, Cheng-I Chen, Sunneng Sandino Berutu, Yeong-Chin Chen
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Energies
Subjects:	power quality disturbance data compression classification convolutional neural network distributed power system
Online Access:	https://www.mdpi.com/1996-1073/17/6/1396

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