A Complex Multi Power Quality Disturbances detection and classification using MRA DWT and k-NN Classifier Technique-Reference-Cited by-同舟云学术

A Complex Multi Power Quality Disturbances detection and classification using MRA DWT and k-NN Classifier Technique

Published:2023-01-24 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference for Advancement in Technology (ICONAT)
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Author:

Kalluri Srinivasa Rao¹,Kumar Jami Deleep¹,Joga S Ramana Kumar¹,Sudhakar V¹,Jagadeesh G.¹,Kumar Darapureddi V²

Affiliation:

1. DIET, Anakapalli,Department of EEE,Visakhapatnam,India

2. AITAM, Tekkali,Department of EEE,Srikakulam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079844/10079947/10080821.pdf?arnumber=10080821

Reference15 articles.

1. Detecting the Change in Microgrid Using Pattern Recognition and Machine Learning

2. Fault Diagnosis in PV system using DWT and Ensembled k-NN Machine Learning Classifier

3. Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network;+li;Frontiers Energy Res,2021

4. Power Quality Disturbance Recognition Using Empirical Wavelet Transform and Feature Selection

5. A novel graph search and machine learning methodto detect and locate high impedance fault zone in distribution system;joga;Engineering Reports,2022

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