Disturbance Classification Method for Microgrids Based on EEMD-Transformer-SVM-Reference-Cited by-同舟云学术

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Disturbance Classification Method for Microgrids Based on EEMD-Transformer-SVM

Published:2023 Issue: Volume:11 Page:78934-78944
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhou Qian¹,Zhang Shiling²^ORCID,Li Yanjun³^ORCID,Li Zhe²,Fang Qin⁴,Huang Han³

Affiliation:

1. State Grid Chongqing Electric Power Company, Chongqing, China

2. Chongqing Electric Power Company Scientific Research Institute, Yubei, Chongqing, China

3. Bishan Power Supply Bureau of State Grid Chongqing Electric Power Company, Bishan, Chongqing, China

4. State Grid Chongqing South Shore Power Supply Bureau, Nanan, Chongqing, China

Funder

State Grid Chongqing Bishan Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10192424.pdf?arnumber=10192424

Reference38 articles.

1. Image Embedding of PMU Data for Deep Learning Towards Transient Disturbance Classification

2. Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks

3. Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications

4. Long Short-Term Memory

5. Automatic detection of power quality disturbance using convolutional neural network structure with gated recurrent unit;yi?it;Mobile Inf Syst,2021

Cited by 1 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. Fault Diagnosis of Ultra-Supercritical Thermal Power Units Based on Improved ICEEMDAN and LeNet-5;IEEE Transactions on Instrumentation and Measurement;2024

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