Fault Classification for DG integrated Hybrid Power System using Wavelet Neural Network Approach-Reference-Cited by-同舟云学术

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Fault Classification for DG integrated Hybrid Power System using Wavelet Neural Network Approach

Published:2021-01-08 Issue: Volume: Page:
ISSN:
Container-title:2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)
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Author:

Bhuyan Anshuman,Panigrahi Basanta K.,Pati Subhendu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9428748/9428924/09428944.pdf?arnumber=9428944

Cited by 7 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. Development of a Power Condition Monitoring System in a Hybrid Power Network;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

2. Classification of Fault Disturbances in a DG Integrated Hybrid Power System Using Support Vector Machine and Decision Tree;Lecture Notes in Electrical Engineering;2023

3. Detection of Fault Disturbances in a DG Integrated Hybrid Power System Using HS-Transform and Wavelet Transform;Lecture Notes in Electrical Engineering;2023

4. Classification of Line to Ground Fault in Transmission Line Using Artificial Neural Network;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25

5. Fuzzy Logic Control-Based Maximum Power Point Tracking for a Three-Phase Grid Connected PV System;Lecture Notes in Electrical Engineering;2022-10-22

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