Power quality disturbance identification using hybrid deep learning in renewable energy systems

Nature·Nov 28

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A hybrid AI framework for identification of power quality disturbances in electrical network

Nature·Apr 2

2

Deep transfer learning approach for the classification of single and multiple power quality disturbances

Nature·Oct 3

3

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

Frontiers·Jul 16

4

Detection of disturbances and cyber-attacks in smart grids using explainable machine learning | Scientific Reports

Nature·Feb 19

5

Comparison of advanced signal decomposition techniques for the classification of PQDs by machine learning algorithms

Nature·Oct 31

6

Real-time PQD detection classification and localization using recurrence plots and EfficientNet-SE in solar integrated IEEE 13-bus system

Nature·Nov 3

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Power system security and protection considering the integration of new energy power plants

Nature·Oct 8

8

Multiscale detection of power quality disturbances and cyber intrusions in smart grids using NSCT and frequency band scalograms | Scientific Reports

Nature·Sep 5