Ensemble deep learning for automated classification of power quality disturbances signals

Author:

Wang Jidong,Zhang DiORCID,Zhou Yue

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference20 articles.

1. Power Quality Disturbance Classification Using the S-transform and probabilistic neural network;W.ang;Energies,2017

2. Feature selection of power quality disturbance signals with an entropy-importance-based random forest;Huang;Entropy,2019

3. Optimal feature selection via nsga-ii for power quality disturbances classification;Singh;IEEE Trans. Ind. Inf.,2018

4. Wide and deep convolutional neural networks for electricity-theft detection to secure smart grids;Zheng;IEEE Trans. Ind. Inf.,2018

5. A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network;Wang;Appl. Energy,2019

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