1. Photovoltaic plant site selection considering dust soiling effects: A novel hybrid framework based on uncertainty and reliability with optimum cleaning schedule. (2025). Firoozabadi, Bahar ; Hosseini, Seyyed Shahabaddin.
   In: Applied Energy.
   RePEc:eee:appene:v:382:y:2025:i:c:s0306261924026369.

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2. Review and Comparison of Methods for Soiling Modeling in Large Grid-Connected PV Plants. (2024). Moset, Antonio ; Platero, Carlos Antonio ; Redondo, Marta ; Donate, Vicente ; Rodrguez, Fernando.
   In: Sustainability.
   RePEc:gam:jsusta:v:16:y:2024:i:24:p:10998-:d:1544230.

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3. PV Module Soiling Detection Using Visible Spectrum Imaging and Machine Learning. (2024). Trifonov, Dimitar T ; Evstatiev, Boris I ; Mihailov, Nicola P ; Valov, Nikolay P ; Gabrovska-Evstatieva, Katerina G.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:20:p:5238-:d:1503570.

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1. Amin, A. ; Wang, X.C. ; Alroichdi, A. ; Ibrahim, A. Designing and manufacturing a robot for dry-cleaning PV solar panels. 2023 Int J Energy Res. 2023 -
   Paper not yet in RePEc: Add citation now
   
2. Bao XY, Sun ZL, Wang N, Chen YQ. Solar panel segmentation under low contrast condition. In: Chinese control and decision conference. 2019, p. 1091–6.
   Paper not yet in RePEc: Add citation now
   
3. Bengio Y, Frasconi P, Simard PY. The problem of learning long-term dependencies in recurrent networks. In: IEEE international conference on neural networks. 1993.
   Paper not yet in RePEc: Add citation now
   
4. Cho K, van Merriënboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, et al. Learning Phrase Representations using RNN Encoder—-ecoder for Statistical Machine Translation. In: Proceedings of the 2014 conference on empirical methods in natural language processing. 2014, p. 1724–34.
   Paper not yet in RePEc: Add citation now
   

5. Deb, D. ; Brahmbhatt, N.L. Review of yield increase of solar panels through soiling prevention, and a proposed water-free automated cleaning solution. 2018 Renew Sustain Energy Rev. 82 3306-3313

6. Deceglie, M.G. ; Micheli, L. ; Muller, M. Quantifying soiling loss directly from PV yield. 2018 IEEE J Photovolt. 8 547-551
   Paper not yet in RePEc: Add citation now
   
7. Elman, Jeffrey L. Finding structure in time. 1990 Cogn Sci. 14 179-211
   Paper not yet in RePEc: Add citation now
   
8. Elsayed N, Maida AS, Bayoumi M. Gated Recurrent Neural Networks Empirical Utilization for Time Series Classification. In: 2019 International conference on internet of things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data. 2019, p. 1207–10.
   Paper not yet in RePEc: Add citation now
   

9. Fernández-Solas, A. ; Montes-Romero, J. ; Micheli, L. Estimation of soiling losses in photovoltaic modules of different technologies through analytical methods. 2022 Energy. 244 -

10. Gao Y, Beijbom O, Zhang N, Darrell T. Compact Bilinear Pooling. In: IEEE conference on computer vision and pattern recognition. 2016, p. 317–26.
    Paper not yet in RePEc: Add citation now
    

11. Gao, Y. ; Miyata, S. ; Akashi, Y. How to improve the application potential of deep learning model in HVAC fault diagnosis: Based on pruning and interpretable deep learning method. 2023 Appl Energy. 348 -

12. Gers FA, Schmidhuber J, Cummins F. Learning to forget: Continual prediction with LSTM. In: 9th international conference on artificial neural networks. 1999, p. 850–5.
    Paper not yet in RePEc: Add citation now
    
13. He K, Zhang X, Ren S, Sun J. Deep Residual Learning for Image Recognition. In: IEEE conference on computer vision and pattern recognition. 2016, p. 770–8.
    Paper not yet in RePEc: Add citation now
    
14. Hochreiter, S. ; Schmidhuber, J. Long short-term memory. 1997 Neural Comput. 9 1735-1780
    Paper not yet in RePEc: Add citation now
    

15. Hong, Y.Y. ; Pula, R.A. Detection and classification of faults in photovoltaic arrays using a 3D convolutional neural network. 2022 Energy. 246 -

16. International Energy Agency-Photovoltaic Power Systems, Photovoltaic power systems programme annual report 2023. 2023 :
    Paper not yet in RePEc: Add citation now
    
17. Jordan, Michael I. Serial order: A parallel distributed processing approach. 1986 En : ICS report 8604. :
    Paper not yet in RePEc: Add citation now
    
18. Kabir, E. ; Kumar, P. ; Kumar, S. Solar energy: Potential and future prospects. 2018 Renew Sustain Energy Rev. 82 894-900
    Paper not yet in RePEc: Add citation now
    
19. Lin TY, RoyChowdhury A, Maji S. Bilinear CNN Models for Fine-Grained Visual Recognition. In: IEEE international conference on computer vision. 2015, p. 1449–57.
    Paper not yet in RePEc: Add citation now
    
20. Maitanova, N. ; Telle, J.-S. ; Hanke, B. A machine learning approach to low-cost photovoltaic power prediction based on publicly available weather reports. 2020 Energies. 13 735-
    Paper not yet in RePEc: Add citation now
    
21. Mehta S, Azad AP, Chemmengath SA, Raykar V, Kalyanaraman S. DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels. In: IEEE winter conference on applications of computer vision. 2018, p. 333–42.
    Paper not yet in RePEc: Add citation now
    

22. Mithhu, M.M.H. ; Rima, T.A. ; Khan, M.R. Global analysis of optimal cleaning cycle and profit of soiling affected solar panels. 2021 Appl Energy. 285 -

23. NVIDIA, NVIDIA jetson orin. 2023 :
    Paper not yet in RePEc: Add citation now
    
24. Qian, T. ; Ming, W. ; Shao, C. An edge intelligence-based framework for online scheduling of soft open points with energy storage. 2024 IEEE Trans Smart Grid. 15 2934-2945
    Paper not yet in RePEc: Add citation now
    
25. Ramachandram, D. ; Taylor, G.W. Deep multimodal learning: A survey on recent advances and trends. 2017 IEEE Signal Process Mag. 34 96-108
    Paper not yet in RePEc: Add citation now
    

26. Shahid, F. ; Zameer, A. ; Muneeb, M. Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM. 2020 Chaos Solitons Fractals. 140 -

27. Tan, H.J. ; Guo, Z.L. ; Zhang, H.R. ; Chen, Q. ; Lin, Z.J. ; Chen, Y.T. Enhancing PV panel segmentation in remote sensing images with constraint refinement modules. 2023 Appl Energy. 350 -

28. Touati, F. ; Al-Hitmi, M.A. ; Chowdhury, N.A. Investigation of solar PV performance under doha weather using a customized measurement and monitoring system. 2016 Renew Energy. 89 564-577

29. Wei, X. ; Zhang, L.L. ; Yang, H.Q. ; Zhang, L.M. ; Yao, Y.P. Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks. 2021 Geosci Front. 12 453-467
    Paper not yet in RePEc: Add citation now
    
30. Yang, M. ; Javed, W. ; Guo, B. Estimating PV soiling loss using panel images and a feature-based regression model. 2024 IEEE J Photovolt. 14 661-668
    Paper not yet in RePEc: Add citation now
    
31. Zhang, W. ; Archana, V. ; Gandhi, O. SoilingEdge: PV soiling power loss estimation at the edge using surveillance cameras. 2024 IEEE Trans Sustain Energy. 15 556-566
    Paper not yet in RePEc: Add citation now
    
32. Zhang, W. ; Liu, S. ; Gandhi, O. ; Rodríguez-Gallegos, C.D. ; Quan, H. ; Srinivasan, D. Deep-learning-based probabilistic estimation of solar PV soiling loss. 2021 IEEE Trans Sustain Energy. 12 2436-2444
    Paper not yet in RePEc: Add citation now
    

33. Zhu, J. ; Li, M. ; Luo, L. Short-term PV power forecast methodology based on multi-scale fluctuation characteristics extraction. 2023 Renew Energy. 208 141-151

1. Advanced fault detection, diagnosis and prognosis in HVAC systems: Lifecycle insight, key challenges, and promising approaches. (2025). Qin, Yijie ; Wang, Lin ; Leng, Qiang ; Zhang, Chunxiao ; Kong, Yifan.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:219:y:2025:i:c:s1364032125005404.

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2. Combining dust scaling behaviors of PV panels and water cleaning methods. (2025). Shi, Long ; Zhao, Xiaoqing ; Song, YE ; Dong, Qichang ; Qi, Jiacheng.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:212:y:2025:i:c:s136403212500067x.

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3. An interdisciplinary literature review of floating solar power plants. (2025). Windt, Christian ; Huang, Luofeng ; Wei, Yujia ; Khojasteh, Danial.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:209:y:2025:i:c:s1364032124008207.

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4. Impact of thermoelectric coal-fired power plant emissions on the soiling mechanisms of nearby photovoltaic power plants in the Atacama Desert. (2025). del Campo, V ; Fuentealba, E ; Conde, L A ; Ferrada, P ; Portillo, C ; Henriquez, M ; Espinoza, R ; Taquichiri, A ; Marzo, A ; Olivares, D.
   In: Renewable Energy.
   RePEc:eee:renene:v:244:y:2025:i:c:s0960148125003465.

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5. Incorporation of dynamic soiling loss into the physical model chain of photovoltaic (PV) systems. (2025). Fan, Siyuan ; Geng, Hua ; Zhang, Hengqi ; Yang, Dazhi ; Mayer, Martin Jnos.
   In: Energy.
   RePEc:eee:energy:v:324:y:2025:i:c:s0360544225014252.

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6. Enhancing photovoltaic efficiency: An in-depth systematic review and critical analysis of dust monitoring, mitigation, and cleaning techniques. (2025). Gavagsaz-Ghoachani, Roghayeh ; Zandi, Majid ; Gholami, Aslan ; Hoorsun, Arman ; Yaghoubi, Ali Akbar ; Gandomzadeh, Mahdi ; Parsay, Alireza ; Kazem, Hussein A.
   In: Applied Energy.
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7. Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings. (2025). Brandi, Silvio ; Razzano, Giuseppe ; Piscitelli, Marco Savino ; Capozzoli, Alfonso.
   In: Applied Energy.
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8. Domain-specific large language models for fault diagnosis of heating, ventilation, and air conditioning systems by labeled-data-supervised fine-tuning. (2025). Zhao, Yang ; Lu, Jie ; Zhang, Chaobo.
   In: Applied Energy.
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9. Solving flood problems with deep learning technology: Research status, strategies, and future directions. (2024). Zhu, Mingxin ; Li, Hongyang ; Skitmore, Martin.
   In: Sustainable Development.
   RePEc:wly:sustdv:v:32:y:2024:i:6:p:7011-7035.

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10. Photovoltaic Modules’ Cleaning Method Selection for the MENA Region. (2024). Shamayleh, Abdulrahim ; Awad, Mahmoud ; Abuzaid, Haneen.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:21:p:9331-:d:1507764.

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11. A review on hybrid physics and data-driven modeling methods applied in air source heat pump systems for energy efficiency improvement. (2024). Wang, Youdong ; Guo, Yanhua ; Li, Xiaoqiong ; Shao, Shuangquan ; Huang, Congqi ; Zhang, Zhentao.
    In: Renewable and Sustainable Energy Reviews.
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12. The impact of soiling on temperature and sustainable solar PV power generation: A detailed analysis. (2024). Sinha, Sunanda ; Malik, Prashant ; Sharma, Shubham.
    In: Renewable Energy.
    RePEc:eee:renene:v:237:y:2024:i:pc:s0960148124019323.

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13. DGImNet: A deep learning model for photovoltaic soiling loss estimation. (2024). Fang, Mingyu ; Qian, Weixing ; Bao, Qiwei ; Zhang, Haocheng ; Qiu, Xiao.
    In: Applied Energy.
    RePEc:eee:appene:v:376:y:2024:i:pb:s0306261924017185.

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14. BEForeGAN: An image-based deep generative approach for day-ahead forecasting of building HVAC energy consumption. (2024). Yeung, Lawrence K ; Ma, Yichuan X.
    In: Applied Energy.
    RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924015794.

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15. A hybrid deep learning model towards fault diagnosis of drilling pump. (2024). Guo, Junyu ; Wang, Jiang ; Li, HE ; Shan, Daiwei ; Huang, Bangkui ; Tang, Aimin ; Yang, Yulai.
    In: Applied Energy.
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16. Personalized federated learning for cross-building energy knowledge sharing: Cost-effective strategies and model architectures. (2024). Chen, Ruikun ; Liao, Longhui ; Mo, Jinhan ; Fan, Cheng.
    In: Applied Energy.
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17. The Influence of Photovoltaic Self-Consumption on Water Treatment Energy Costs: The Case of the Region of Valencia. (2023). Garcia-Lopez, Marcos ; Melgarejo, Joaquin ; Montano, Borja.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:15:p:11508-:d:1202219.

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18. The Cleaning Effect of Photovoltaic Modules According to Precipitation in the Operation Stage of a Large-Scale Solar Power Plant. (2023). Jo, Wonkyun ; Ham, Namhyuk ; Kim, Juhyung.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:17:p:6180-:d:1225320.

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19. Determination of the best air space value for installation of a PV façade technology based on 4E characteristics. (2023). Yang, Xiaohu ; Miremadi, Seyed Rahman ; Nizetic, Sandro ; Doranehgard, Mohammad Hossein ; Sayyaadi, Hoseyn ; Sohani, Ali.
    In: Energy.
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20. A Log-Logistic Predictor for Power Generation in Photovoltaic Systems. (2022). Santos, Ricardo ; Souza, Guilherme ; Saraiva, Erlandson.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:16:p:5973-:d:891103.

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21. The Effects of Soiling and Frequency of Optimal Cleaning of PV Panels in Palestine. (2022). Abdel-Fattah, Salameh ; Abdallah, Ramez ; Shadid, Montaser ; Qadi, Mahmoud ; Amur, Huseyin ; Manzano-Agugliaro, Francisco ; Garcia-Cruz, Amos ; Albatayneh, Aiman ; Juaidi, Adel.
    In: Energies.
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22. Soiling effect in solar energy conversion systems: A review. (2022). Conceio, Ricardo ; Romero, Manuel ; Gonzalez-Aguilar, Jose ; Merrouni, Ahmed Alami.
    In: Renewable and Sustainable Energy Reviews.
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23. Optimization of a porous wind barrier to reduce soiling and avoid shading losses of photovoltaic panels. (2022). Amraqui, Samir ; Salhi, Mourad ; Chaatouf, Dounia ; Raillani, Benyounes ; Mezrhab, Ahmed.
    In: Renewable Energy.
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24. 3-D numerical simulation and experimental study of PV module self-cleaning based on dew formation and single axis tracking. (2022). Eslami, Shahab ; Pouladian-Kari, Ramin ; Kirchner, Lars ; Rahbar, Kiyarash.
    In: Applied Energy.
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25. Identification of Parameters in Photovoltaic Models through a Runge Kutta Optimizer. (2021). Deb, Sanchari ; Said, Mokhtar ; Perez-Cisneros, Marco ; Shaban, Hassan ; Houssein, Essam H ; Oliva, Diego ; Abdelminaam, Diaa Salama ; Hassan, Amir Y.
    In: Mathematics.
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26. Cleaning of Floating Photovoltaic Systems: A Critical Review on Approaches from Technical and Economic Perspectives. (2021). Ahmadiahangar, Roya ; Zahedi, Rafi ; Ranjbaran, Parisa ; Gharehpetian, Gevork B ; Mohammadi, Fazel.
    In: Energies.
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27. Dust Removal from Solar PV Modules by Automated Cleaning Systems. (2019). Wu, Yue ; Blunden, Luke S ; Bahaj, Abubakr S ; Alghamdi, Abdulsalam S.
    In: Energies.
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