Open Access
| Issue |
EPJ Web Conf.
Volume 367, 2026
Fifth International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2026)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 11 | |
| Section | Intelligent Automation | |
| DOI | https://doi.org/10.1051/epjconf/202636702005 | |
| Published online | 29 April 2026 | |
- A. Al Mamun, F. M. Gonzalez-Longatt, and R. J. Best, “Inspection and fault detection of photovoltaic arrays using UAVs,” Solar Energy, vol. 196, pp. 177–189, (2020).https://doi.org/10.1016/j.solener.2019.11.038 [Google Scholar]
- A. Michail et al., “A comprehensive review of UAV-based approaches to support photovoltaic plant diagnosis,” Heliyon, vol. 10, no. 1, p. e23983, Jan. (2024) https://doi.org/10.1016/j.heliyon.2024.e24903 [Google Scholar]
- J. Aghaei, P. Kosmopoulos, S. C. Livera, and J. A. Tsanakas, “Autonomous monitoring of PV systems : A multidisciplinary review on UAVs, AI, and future perspectives,” Prog. Photovolt., vol. 33, no. 1, pp. 45–70, (2025).https://doi.org/10.1002/pip.3724 [Google Scholar]
- J. A. Tsanakas, L. Ha, and C. Buerhop, “Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules : A review of research and future challenges,” Renew. Sustain Energy Rev, vol. 62, pp. 695–709, (2016). https://doi.org/10.1016/j.rser.2016.04.079 [Google Scholar]
- T. A. Solend, A. Rødningsby, and H. J. F. Moen, “Impacts of infrared thermographic image blurring on UAV inspection efficiency of solar power plants,” Solar Energy, vol. 299, p. 113673, (2025). https://doi.org/10.1016/j.solener.2024.113673 [Google Scholar]
- A. E. Alnajjar, D. Issa, A. Khdair, and S. Altarazi, “Radiometric infrared thermography of solar photovoltaic systems: Toward explainable intelligent inspection,” Electronics, vol. 14, no. 4, p. 755, (2025). https://doi.org/10.3390/electronics14040755 [Google Scholar]
- H. Bommes, F. Gaede, and J. Paetzold, “Thermographic inspection of PV modules using UAVs and deep learning for automated fault classification,” Energies, vol. 14, no. 4, pp. 1178–1195, (2021).https://doi.org/10.3390/en14041178 [Google Scholar]
- J. Rodríguez-Vázquez et al., “Real-time object detection for autonomous solar farm inspection via UAVs,” Sensors, vol. 24, no. 3, p. 777, Jan(2024) https://doi.org/10.3390/s24030777 [Google Scholar]
- A. K. Pruthviraj, Y. Kashyap, E. Baxevanaki, and P. Kosmopoulos, “Solar photovoltaic hotspot inspection using UAV thermal images at a solar field in South India,” Remote Sensing, vol. 15, no. 7, p. 1914, (2023). https://doi.org/10.3390/rs15071914 [Google Scholar]
- R. Zhang, K. Xu, Y. Liu, and H. Zhao, “YOLOv5-based defect detection in UAV thermal/RGB imagery for PV modules,” Energies, vol. 15, no. 22, p. 8579, (2022).https://doi.org/10.3390/en15228579 [Google Scholar]
- A. de Oliveira, M. Vallim, R. Villan, L. O. Seman, and F. Silva, “Automatic inspection of photovoltaic plants using aerial infrared thermography: A review,” Energies, vol. 15, no. 19, p. 7032, (2022). https://doi.org/10.3390/en15197032 [Google Scholar]
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