Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification

Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification

The proportion of new energy sources, such as wind, photovoltaic and hydropower, in the power grid is increasing year by year. In addition, a large number of nonlinear loads are connected to the grid, resulting in frequent power quality disturbances (PQDs), which pose challenges to the stability and...

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Bibliographic Details
Main Authors: Shuangquan Yang, Tao Shan, Xiaomei Yang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
power quality disturbances
interpretable
discrete wavelet transform
one-dimensional convolutional neural network
long short-term memory network
Online Access:https://www.mdpi.com/1996-1073/18/2/231
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