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Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure

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  1. Li, B. & Delpha, C. & Diallo, D. & Migan-Dubois, A., 2021. "Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
  2. Guilherme Souza & Ricardo Santos & Erlandson Saraiva, 2022. "A Log-Logistic Predictor for Power Generation in Photovoltaic Systems," Energies, MDPI, vol. 15(16), pages 1-16, August.
  3. Yang, Xiyun & Zhang, Yanfeng & Lv, Wei & Wang, Dong, 2021. "Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier," Renewable Energy, Elsevier, vol. 163(C), pages 386-397.
  4. Segovia Ramírez, Isaac & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2022. "A novel approach to optimize the positioning and measurement parameters in photovoltaic aerial inspections," Renewable Energy, Elsevier, vol. 187(C), pages 371-389.
  5. Chang, Zhonghao & Han, Te, 2024. "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, Elsevier, vol. 205(C).
  6. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
  7. Waqar Akram, M. & Li, Guiqiang & Jin, Yi & Chen, Xiao, 2022. "Failures of Photovoltaic modules and their Detection: A Review," Applied Energy, Elsevier, vol. 313(C).
  8. Faris E. Alfaris & Essam A. Al-Ammar & Ghazi A. Ghazi & Ahmed A. AL-Katheri, 2024. "A Cost-Effective Fault Diagnosis and Localization Approach for Utility-Scale PV Systems Using Limited Number of Sensors," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
  9. Rediske, Graciele & Michels, Leandro & Siluk, Julio Cezar Mairesse & Rigo, Paula Donaduzzi & Rosa, Carmen Brum & Lima, Andrei Cunha, 2024. "A proposed set of indicators for evaluating the performance of the operation and maintenance of photovoltaic plants," Applied Energy, Elsevier, vol. 354(PA).
  10. Mellit, Adel & Kalogirou, Soteris, 2025. "Recent advances in the application of infrared thermographic imaging and embedded artificial intelligence for fault diagnosis and predictive maintenance of photovoltaic plants: Challenges and future d," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
  11. Qu, Jiaqi & Qian, Zheng & Pei, Yan & Wei, Lu & Zareipour, Hamidreza & Sun, Qiang, 2022. "An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection," Applied Energy, Elsevier, vol. 319(C).
  12. Ali Thakfan & Yasser Bin Salamah, 2024. "Artificial-Intelligence-Based Detection of Defects and Faults in Photovoltaic Systems: A Survey," Energies, MDPI, vol. 17(19), pages 1-23, September.
  13. Cheng Yang & Fuhao Sun & Yujie Zou & Zhipeng Lv & Liang Xue & Chao Jiang & Shuangyu Liu & Bochao Zhao & Haoyang Cui, 2024. "A Survey of Photovoltaic Panel Overlay and Fault Detection Methods," Energies, MDPI, vol. 17(4), pages 1-37, February.
  14. Lappalainen, Kari & Piliougine, Michel & Valkealahti, Seppo & Spagnuolo, Giovanni, 2024. "Photovoltaic module series resistance identification at its maximum power production," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 224(PA), pages 50-62.
  15. Di Tommaso, Antonio & Betti, Alessandro & Fontanelli, Giacomo & Michelozzi, Benedetto, 2022. "A multi-stage model based on YOLOv3 for defect detection in PV panels based on IR and visible imaging by unmanned aerial vehicle," Renewable Energy, Elsevier, vol. 193(C), pages 941-962.
  16. Du, Bin & Lund, Peter D. & Wang, Jun, 2021. "Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector," Energy, Elsevier, vol. 220(C).
  17. Mao, Hongzhi & Liu, Weili & Chen, Xie & Tian, Zhiyong & Zarrella, Angelo & Luo, Yongqiang & Fan, Jianhua & Wu, Wentao, 2025. "A method on mapping the distribution of photovoltaic power stations in complex terrain regions," Renewable Energy, Elsevier, vol. 247(C).
  18. Anđelić, Nikola & Baressi Šegota, Sandi & Mrzljak, Vedran, 2025. "A comprehensive study on symbolic expressions for fault detection-classification in photovoltaic farms," Applied Energy, Elsevier, vol. 383(C).
  19. Carlos Roberto da Silveira Junior & Carlos Eduardo Rocha Sousa & Ricardo Henrique Fonseca Alves, 2025. "Automatic Fault Classification in Photovoltaic Modules Using Denoising Diffusion Probabilistic Model, Generative Adversarial Networks, and Convolutional Neural Networks," Energies, MDPI, vol. 18(4), pages 1-25, February.
  20. Lin, Peijie & Chen, Hang & Cheng, Shuying & Lu, Xiaoyang & Lin, Yaohai & Sun, Lei, 2025. "Assessment of power loss caused by soiling PV modules using a dual branch multi-modality deep learning network framework," Renewable Energy, Elsevier, vol. 248(C).
  21. Fonseca Alves, Ricardo Henrique & Deus Júnior, Getúlio Antero de & Marra, Enes Gonçalves & Lemos, Rodrigo Pinto, 2021. "Automatic fault classification in photovoltaic modules using Convolutional Neural Networks," Renewable Energy, Elsevier, vol. 179(C), pages 502-516.
  22. Puppala, Harish & Maganti, Lakshmi Sirisha & Peddinti, Pranav R.T. & Motapothula, Mallikarjuna Rao, 2024. "Thermographic inspections of solar photovoltaic plants in India using Unmanned Aerial Vehicles: Analysing the gap between theory and practice," Renewable Energy, Elsevier, vol. 237(PB).
  23. Qamar Navid & Ahmed Hassan & Abbas Ahmad Fardoun & Rashad Ramzan, 2020. "An Online Novel Two-Layered Photovoltaic Fault Monitoring Technique Based Upon the Thermal Signatures," Sustainability, MDPI, vol. 12(22), pages 1-13, November.
  24. Peinado Gonzalo, Alfredo & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2020. "Survey of maintenance management for photovoltaic power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
  25. Wang, Bo & Chen, Qi & Wang, Mengmeng & Chen, Yuntian & Zhang, Zhengjia & Liu, Xiuguo & Gao, Wei & Zhang, Yanzhen & Zhang, Haoran, 2024. "PVF-10: A high-resolution unmanned aerial vehicle thermal infrared image dataset for fine-grained photovoltaic fault classification," Applied Energy, Elsevier, vol. 376(PA).
  26. Gabriella-Stefánia Szabó & Róbert Szabó & Loránd Szabó, 2022. "A Review of the Mitigating Methods against the Energy Conversion Decrease in Solar Panels," Energies, MDPI, vol. 15(18), pages 1-21, September.
  27. Wei-Hsiang Chiang & Han-Sheng Wu & Jong-Shinn Wu & Shiow-Jyu Lin, 2022. "A Method for Estimating On-Field Photovoltaics System Efficiency Using Thermal Imaging and Weather Instrument Data and an Unmanned Aerial Vehicle," Energies, MDPI, vol. 15(16), pages 1-12, August.
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