Case Study: Utilising of Deep Learning Models for Fault Detection and Diagnosis of Photovoltaic Modules to Improve Solar Energy Constructions’ O&M Activities Quality-Reference-Cited by-同舟云学术

Case Study: Utilising of Deep Learning Models for Fault Detection and Diagnosis of Photovoltaic Modules to Improve Solar Energy Constructions’ O&M Activities Quality

Published:2023-11-01 Issue: Volume: Page:53-67
ISSN:
Container-title:Information Systems Research in Vietnam, Volume 2
language:
Short-container-title:

Author:

Nguyen-Vinh Khuong^ORCID,Vo-Huynh Quang-Nguyen,Nguyen-Minh Khoa,Hoang Minh,Rangaraju Surender^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4792-8_5

Reference31 articles.

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2. Rangaraju, S., Isaac, O., Vo, P., Nguyen, K., & Ananth, A. (2021). Guaranteed O&M for solar plants in Vietnam-a review proposal on guaranteed O&M service foster sustainable energy generation by maximizing solar energy production and safe-guarding investment. International Journal of Engineering Applied Sciences (IJEAS) 8, 24. https://doi.org/10.31873/IJEAS.8.7.08.

3. Nguyen, K. V., & Nguyen-Quang, N. (2018). Novel tiny 1.2kV SiC MOSFET gate driver. In 2018 1st Workshop on Wide Bandgap Power Devices and Applications in Asia (WiPDA Asia), Xi’an, China (pp. 256–259). https://doi.org/10.1109/WiPDAAsia.2018.8734526.

4. Aithagga, A., Assmus, J., Aubagnac, R., Auger, G., Barandalla, D., Bartle, M., et al. Operation & maintenance best practices guidelines.

5. Shin, W., Han, J., & Rhee, W. (2021). AI-assistance for predictive maintenance of renewable energy systems. Energy, 221, 119775.