Detection and Classification of Power Quality Disturbances Using Variational Mode Decomposition and Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Detection and Classification of Power Quality Disturbances Using Variational Mode Decomposition and Convolutional Neural Networks

Published:2021-01-27 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)
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Author:

Deng Weimin,Xu Da,Xu Yuhan,Li Mengshi

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9375825/9375905/09376031.pdf?arnumber=9376031

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Convolutional Neural Network for Multiple Smart Grid Event Classification through Sliding Windows;2024 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA);2024-05-21

2. Identification of harmonic sources in smart grid using systematic feature extraction from non-active powers;Frontiers in Smart Grids;2024-01-31

3. High Power Supply Signal Filtering Based on Adaptive Algorithm;2024 IEEE 4th International Conference on Power, Electronics and Computer Applications (ICPECA);2024-01-26

4. Real Time Intelligent Detection of PQ Disturbances With Variational Mode Energy Features and Hybrid Optimized Light GBM Classifier;IEEE Access;2024

5. A Comparative Technique to detect and classify Power Quality Disturbances with Noise Signals;2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT);2022-10-07

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