Forecasting and Classification Of Power Quality Disturbance In Smart Grid Using Hybrid Networks
Author:
Affiliation:
1. TKM College of Engineering,Department of Electrical & Electronics,Kollam,India
2. Center for Computational Engineering and Networking (CEN),Amrita School of Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9715739/9715740/09715824.pdf?arnumber=9715824
Reference16 articles.
1. Classification of Power Quality Disturbances via Deep Learning
2. A New Convolutional Network Structure for Power Quality Disturbance Identification and Classification in Micro-Grids
3. A Modified CNN for Detection of Faults During Power Swing in Transmission Lines;aparnna;In 2020 International Conference on Power Instrumentation Control and Computing (PICC),2020
4. A LSTM-based deep learning method with application to voltage dip classification
5. Power quality analysis using s-transform
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2. Power Quality Prediction at Consumers Using a Hybrid Knowledge-Based Approach;2023 IEEE International Smart Cities Conference (ISC2);2023-09-24
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