A study on fault diagnosis in solar photovoltaic array using artificial neural network-Reference-Cited by-同舟云学术

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A study on fault diagnosis in solar photovoltaic array using artificial neural network

Published:2024-01-25 Issue: Volume: Page:124-128
ISSN:
Container-title:2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC)
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Author:

Bakshi Biswadeep Gupta¹,Wasif Shaheen²,Sarkar Subinay³,Wasim Saif⁴

Affiliation:

1. Narula Institute of Technology,Department of Electrical Engineering,Kolkata,India

2. Jadavpur University,School of Illumination Science Engineering and Design,Kolkata,India

3. Jadavpur University,Electrical Engineering Department,Kolkata,India

4. HSB Polytechnic,Electrical Engineering Department,Tasarkata,West Bengal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467194/10468072/10468482.pdf?arnumber=10468482

Reference18 articles.

1. Current Challenges in Diffusion of Solar Power in India

2. A Fault Detection Method for Photovoltaic Systems Based on Voltage and Current Observation and Evaluation

3. Machine learning-based statistical testing hypothesis for fault detection in photovoltaic systems

4. Detection and prediction of faults in photovoltaic arrays: A review

5. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques

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