Hybrid Deep Learning Model for Fault Detection and Classification of Grid-Connected Photovoltaic System-Reference-Cited by-同舟云学术

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Hybrid Deep Learning Model for Fault Detection and Classification of Grid-Connected Photovoltaic System

Published:2022 Issue: Volume:10 Page:13852-13869
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alrifaey Moath^ORCID,Lim Wei Hong,Ang Chun Kit^ORCID,Natarajan Elango,Solihin Mahmud Iwan^ORCID,Juhari Mohd Rizon Mohamed,Tiang Sew Sun

Funder

Ministry of Higher Education Malaysia through the Fundamental Research Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09668848.pdf?arnumber=9668848

Reference69 articles.

1. Optimization and Selection of Maintenance Policies in an Electrical Gas Turbine Generator Based on the Hybrid Reliability-Centered Maintenance (RCM) Model

2. Islanding Detection of Microgrid Incorporating Inverter Based DGs Using Long Short-Term Memory Network

3. Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics

4. Fault Diagnosis in Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System

5. Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems

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1. Prognostics and health management of photovoltaic systems based on deep learning: A state-of-the-art review and future perspectives;Renewable and Sustainable Energy Reviews;2024-11

2. Optimization of grid-connected voltage support technology and intelligent control strategies for new energy stations based on deep learning;Energy Informatics;2024-08-23

3. Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring;Energy Conversion and Management;2024-08

4. Fault Detection and Diagnosis in Photovoltaic Systems Using Decision Tree Method;2024 IEEE Symposium on Wireless Technology & Applications (ISWTA);2024-07-20

5. FaultyVoltaMan: Ensemble Learning Model for Accurate Fault Detection and Classification of PV-Integrated Systems;2024 IEEE International Conference on Prognostics and Health Management (ICPHM);2024-06-17

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