Electrical Power Quality Disturbances Detection in Transmission Lines Using Machine Learning-Enabled Classifier-Reference-Cited by-同舟云学术

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Electrical Power Quality Disturbances Detection in Transmission Lines Using Machine Learning-Enabled Classifier

Published:2024-03-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)
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Author:

Ikram Arafat Ibne¹,Hassan Md. Shakib²,Akter Nurjahan³

Affiliation:

1. International Islamic University Chittagong,Department of Electrical and Electronic Engineering,Chattogram,Bangladesh,4318

2. Institute of Energy Technology Chittagong University of Engineering & Technology,Chattogram,Bangladesh,4349

3. Sonargaon University,Department of Computer Science & Engineering,Dhaka,Bangladesh,1215

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499437/10499447/10499454.pdf?arnumber=10499454

Reference18 articles.

1. A classification method for multiple power quality disturbances using EWT based adaptive filtering and multiclass SVM

2. A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

3. Detection of power quality disturbances using an adaptive process noise covariance Kalman filter

4. A new optimal feature selection scheme for classification of power quality disturbances based on ant colony framework

5. Optimizing energy consumption in smart homes: Load scheduling approaches

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