Real Time Intelligent Detection of PQ Disturbances With Variational Mode Energy Features and Hybrid Optimized Light GBM Classifier-Reference-Cited by-同舟云学术

Real Time Intelligent Detection of PQ Disturbances With Variational Mode Energy Features and Hybrid Optimized Light GBM Classifier

Published:2024 Issue: Volume:12 Page:47155-47172
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mishra Sairam¹^ORCID,Mallick Ranjan Kumar²^ORCID,Gadanayak Debadatta Amaresh²^ORCID,Nayak Pravati¹^ORCID,Sharma Renu¹^ORCID,Panda Gayadhar³^ORCID,Al-Numay Mohammed S.⁴^ORCID,Siano Pierluigi⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, Siksha ‘O’ Anushandhan (Deemed to be University), Bhubaneswar, Odisha, India

2. Department of Electrical and Electronics Engineering, Siksha ‘O’ Anushandhan (Deemed to be University), Bhubaneswar, Odisha, India

3. National Institute of Technology Meghalaya, Laitumkhrah, Shillong, Meghalaya, India

4. Electrical Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia

5. Department of Management and Innovation Systems, University of Salerno, Salerno, Italy

Funder

Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478893.pdf?arnumber=10478893

Reference43 articles.

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4. Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

5. A critical review of detection and classification of power quality events