1. Euclidean Distance-Based Tree Algorithm for Fault Detection and Diagnosis in Photovoltaic Systems. (2025). Silvestre, Santiago ; Aouaichia, Abdelhadi ; Chouder, Aissa ; Kara, Kamel ; Mouleloued, Youssouf.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:7:p:1773-:d:1626198.

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2. Leveraging Machine Learning in Next-Generation Climate Change Adaptation Efforts by Increasing Renewable Energy Integration and Efficiency. (2025). Rojek, Izabela ; Mikoajewski, Dariusz ; Andryszczyk, Marek ; Tyburek, Krzysztof ; Bednarek, Tomasz.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:13:p:3315-:d:1686374.

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3. Novel deterioration diagnosis device for individual photovoltaic modules useable without disconnecting electric wiring in solar cell string. (2024). Inui, Yoshitaka ; Kuramochi, Taito ; Tanaka, Tadashi ; Ogawa, Hiroshi.
   In: Renewable Energy.
   RePEc:eee:renene:v:232:y:2024:i:c:s0960148124011790.

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4. A cascade neural network methodology for fault detection and diagnosis in solar thermal plants. (2023). Ruiz-Moreno, Sara ; Camacho, Eduardo F ; Gallego, Antonio J ; Sanchez, Adolfo J.
   In: Renewable Energy.
   RePEc:eee:renene:v:211:y:2023:i:c:p:76-86.

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5. Online fault diagnosis of PV array considering label errors based on distributionally robust logistic regression. (2023). Yan, Zheng ; Xu, Xiaoyuan ; Wang, Mengyuan.
   In: Renewable Energy.
   RePEc:eee:renene:v:203:y:2023:i:c:p:68-80.

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6. Machine Learning and Deep Learning in Energy Systems: A Review. (2022). Zahedi, Rahim ; Forootan, Mohammad Mahdi ; Larki, Iman ; Ahmadi, Abolfazl.
   In: Sustainability.
   RePEc:gam:jsusta:v:14:y:2022:i:8:p:4832-:d:796121.

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7. Artificial Neural Network for Fault Diagnosis of Solar Photovoltaic Systems: A Survey. (2022). Yuan, Zixia ; Fu, Xiaofan ; Xiong, Guojiang.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:22:p:8693-:d:977673.

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8. Advances in Fault Condition Monitoring for Solar Photovoltaic and Wind Turbine Energy Generation: A Review. (2022). Osornio-Rios, Roque A ; Antonino-Daviu, Jose A ; Elvira-Ortiz, David A ; Jaen-Cuellar, Arturo Y.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:15:p:5404-:d:872144.

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9. A deep learning-based strategy for fault detection and isolation in parabolic-trough collectors. (2022). Ruiz-Moreno, Sara ; Camacho, Eduardo F ; Gallego, Antonio J ; Sanchez, Adolfo J.
   In: Renewable Energy.
   RePEc:eee:renene:v:186:y:2022:i:c:p:691-703.

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10. Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes. (2022). Seshadhri, Subathra ; Sairam, Seshapalli ; Srinivasan, Seshadhri ; Bekiroglu, Korkut ; Marafioti, Giancarlo ; Mathisen, Geir.
    In: Renewable Energy.
    RePEc:eee:renene:v:185:y:2022:i:c:p:1425-1440.

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11. Assessment of machine learning and ensemble methods for fault diagnosis of photovoltaic systems. (2022). Kalogirou, Soteris ; Mellit, Adel.
    In: Renewable Energy.
    RePEc:eee:renene:v:184:y:2022:i:c:p:1074-1090.

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12. An unsupervised hourly weather status pattern recognition and blending fitting model for PV system fault detection. (2022). Qian, Zheng ; Pei, Yan ; Sun, Qiang ; Wei, LU ; Qu, Jiaqi ; Zareipour, Hamidreza.
    In: Applied Energy.
    RePEc:eee:appene:v:319:y:2022:i:c:s0306261922006286.

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13. Fault Detection and Diagnosis Method of Distributed Photovoltaic Array Based on Fine-Tuning Naive Bayesian Model. (2021). Zhang, Xiangwen ; He, Weiguo ; Zheng, Jianyong ; Yin, Deyang.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:14:p:4140-:d:591167.

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14. Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review. (2021). Diallo, D ; Delpha, C ; Li, B ; Migan-Dubois, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:138:y:2021:i:c:s136403212030798x.

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15. A supervised ensemble learning method for fault diagnosis in photovoltaic strings. (2021). Cubukcu, Mete ; Kapucu, Ceyhun.
    In: Energy.
    RePEc:eee:energy:v:227:y:2021:i:c:s036054422100712x.

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16. An Online Novel Two-Layered Photovoltaic Fault Monitoring Technique Based Upon the Thermal Signatures. (2020). Ramzan, Rashad ; Navid, Qamar ; Hassan, Ahmed ; Fardoun, Abbas Ahmad.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:22:p:9607-:d:446965.

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17. Mitigating Potential-Induced Degradation (PID) Using SiO 2 ARC Layer. (2020). Hu, Yihua ; Vieira, Romenia G ; Schofield, Nigel ; Dhimish, Mahmoud.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:19:p:5139-:d:423112.

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18. New Intelligent Fault Diagnosis (IFD) approach for grid-connected photovoltaic systems. (2020). Kara, Kamel ; Mostefa, Cherifa Kara ; Amrouche, Badia ; Chouder, Aissa ; Benyoucef, Abou Soufiane.
    In: Energy.
    RePEc:eee:energy:v:211:y:2020:i:c:s0360544220316996.

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1. Method for the Automated Inspection of the Surfaces of Photovoltaic Modules. (2022). Panchenko, Vladimir ; Bolshev, Vadim ; Kuznetsov, Pavel ; Jasiski, Marek ; Yuferev, Leonid ; Kotelnikov, Dmitry ; Flah, Aymen.
   In: Sustainability.
   RePEc:gam:jsusta:v:14:y:2022:i:19:p:11930-:d:921420.

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2. Voting-Based Ensemble Learning Algorithm for Fault Detection in Photovoltaic Systems under Different Weather Conditions. (2022). Yang, Nien-Che ; Ismail, Harun.
   In: Mathematics.
   RePEc:gam:jmathe:v:10:y:2022:i:2:p:285-:d:726926.

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3. IoT-Based PV Array Fault Detection and Classification Using Embedded Supervised Learning Methods. (2022). Kellerhals, Samuel ; Hojabri, Mojgan ; Upadhyay, Govinda ; Bowler, Benjamin.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:6:p:2097-:d:770227.

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4. Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes. (2022). Seshadhri, Subathra ; Sairam, Seshapalli ; Srinivasan, Seshadhri ; Bekiroglu, Korkut ; Marafioti, Giancarlo ; Mathisen, Geir.
   In: Renewable Energy.
   RePEc:eee:renene:v:185:y:2022:i:c:p:1425-1440.

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5. Assessment of machine learning and ensemble methods for fault diagnosis of photovoltaic systems. (2022). Kalogirou, Soteris ; Mellit, Adel.
   In: Renewable Energy.
   RePEc:eee:renene:v:184:y:2022:i:c:p:1074-1090.

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6. Satellite based fault diagnosis of photovoltaic systems using recurrent neural networks. (2022). van Gompel, Jonas ; Spina, Domenico ; Develder, Chris.
   In: Applied Energy.
   RePEc:eee:appene:v:305:y:2022:i:c:s0306261921011934.

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7. Fault Diagnostic Methodologies for Utility-Scale Photovoltaic Power Plants: A State of the Art Review. (2021). Ramzan, Rashad ; Navid, Qamar ; Hassan, Ahmed ; Alraeesi, Abdulrahman ; Fardoun, Abbas Ahmad.
   In: Sustainability.
   RePEc:gam:jsusta:v:13:y:2021:i:4:p:1629-:d:492675.

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8. An Efficient Neural Network-Based Method for Diagnosing Faults of PV Array. (2021). Kebir, Selma Tchoketch ; Boulouma, Sabri ; Cheggaga, Nawal ; Ilinca, Adrian.
   In: Sustainability.
   RePEc:gam:jsusta:v:13:y:2021:i:11:p:6194-:d:566322.

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9. Automated Fault Management System in a Photovoltaic Array: A Reconfiguration-Based Approach. (2021). Murillo-Soto, Luis D ; Meza, Carlos.
   In: Energies.
   RePEc:gam:jeners:v:14:y:2021:i:9:p:2397-:d:541888.

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10. Using EMPHASIS for the Thermography-Based Fault Detection in Photovoltaic Plants. (2021). Dalessandro, Vincenzo ; Daliento, Santolo ; Guerriero, Pierluigi ; Scognamillo, Ciro ; Catalano, Antonio Pio.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:6:p:1559-:d:515208.

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11. An Effective Evaluation on Fault Detection in Solar Panels. (2021). Chaurasiya, Prem Kumar ; Techato, Kuaanan ; Phoungthong, Khamphe ; Velmurugan, Karthikeyan ; Dhanraj, Joshuva Arockia ; Solomon, Jenoris Muthiya ; Gopalan, Anitha ; Mostafaeipour, Ali.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:22:p:7770-:d:683266.

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12. Fault Detection and Diagnosis Method of Distributed Photovoltaic Array Based on Fine-Tuning Naive Bayesian Model. (2021). Zhang, Xiangwen ; He, Weiguo ; Zheng, Jianyong ; Yin, Deyang.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:14:p:4140-:d:591167.

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13. Transformer Fault Diagnosis Model Based on Improved Gray Wolf Optimizer and Probabilistic Neural Network. (2021). Zhou, Yichen ; Yang, Xiaohui ; Tao, Lingyu.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:11:p:3029-:d:560891.

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14. Research agendas on renewable energies in the Global South: A systematic literature review. (2021). Haag, Steffen ; Apfel, Dorothee ; Herbes, Carsten.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:148:y:2021:i:c:s1364032121005153.

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15. Artificial intelligence and internet of things to improve efficacy of diagnosis and remote sensing of solar photovoltaic systems: Challenges, recommendations and future directions. (2021). Kalogirou, Soteris ; Mellit, Adel.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:143:y:2021:i:c:s1364032121001830.

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16. Application of Artificial Neural Networks to photovoltaic fault detection and diagnosis: A review. (2021). Diallo, D ; Delpha, C ; Li, B ; Migan-Dubois, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:138:y:2021:i:c:s136403212030798x.

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17. Automatic fault classification in photovoltaic modules using Convolutional Neural Networks. (2021). Lemos, Rodrigo Pinto ; Fonseca, Ricardo Henrique ; de Deus, Getulio Antero ; Marra, Enes Gonalves.
    In: Renewable Energy.
    RePEc:eee:renene:v:179:y:2021:i:c:p:502-516.

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18. A supervised ensemble learning method for fault diagnosis in photovoltaic strings. (2021). Cubukcu, Mete ; Kapucu, Ceyhun.
    In: Energy.
    RePEc:eee:energy:v:227:y:2021:i:c:s036054422100712x.

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19. Increasing resiliency against information vulnerability of renewable resources in the operation of smart multi-area microgrid. (2021). Tabar, Vahid Sohrabi ; Tohidi, Sajjad ; Zadeh, Saeid Ghassem.
    In: Energy.
    RePEc:eee:energy:v:220:y:2021:i:c:s0360544221000256.

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20. Intelligent PV Panels Fault Diagnosis Method Based on NARX Network and Linguistic Fuzzy Rule-Based Systems. (2020). Samara, Sufyan ; Natsheh, Emad.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:5:p:2011-:d:329054.

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21. An Algorithm for Recognition of Fault Conditions in the Utility Grid with Renewable Energy Penetration. (2020). Mahla, Rajendra ; Siano, Pierluigi ; Mahela, Om Prakash ; Kansal, Kapil Dev ; Alhelou, Hassan Haes ; Yogee, Govind Sahay ; Khan, Baseem.
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    RePEc:gam:jeners:v:13:y:2020:i:9:p:2383-:d:356133.

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22. Clustering-Based Self-Imputation of Unlabeled Fault Data in a Fleet of Photovoltaic Generation Systems. (2020). Park, Sunme ; Kim, Myungsun ; Hwang, Euiseok.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:3:p:737-:d:317991.

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23. Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data. (2020). Park, Seung-Hoon ; Ha, Sang-Woo ; Oh, Min-Suk ; Eom, Jae-Yong ; Cho, Ga-Young ; Kim, Eui-Jong.
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    RePEc:gam:jeners:v:13:y:2020:i:18:p:4935-:d:416417.

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24. A dynamic alarm threshold setting method for photovoltaic array and its application. (2020). Sun, Qian ; Zhao, Jian ; Yao, Jianxi ; Zhu, Honglu ; Wang, Haizheng ; Yu, Cao.
    In: Renewable Energy.
    RePEc:eee:renene:v:158:y:2020:i:c:p:13-22.

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25. Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters. (2020). Titarenko, Sofya ; Mather, Peter ; Hussain, Muhammed ; Dhimish, Mahmoud.
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    RePEc:eee:renene:v:155:y:2020:i:c:p:1272-1292.

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26. New Intelligent Fault Diagnosis (IFD) approach for grid-connected photovoltaic systems. (2020). Kara, Kamel ; Mostefa, Cherifa Kara ; Amrouche, Badia ; Chouder, Aissa ; Benyoucef, Abou Soufiane.
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    RePEc:eee:energy:v:211:y:2020:i:c:s0360544220316996.

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27. Detection of cleaning interventions on photovoltaic modules with machine learning. (2020). Heinrich, Matthias ; Queval, Loic ; Oukhellou, Latifa ; Multon, Bernard ; Darga, Arouna ; Same, Allou ; Meunier, Simon.
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    RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301549.

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28. A hybrid fault diagnosis method for mechanical components based on ontology and signal analysis. (2019). Xin, Yang ; Zhou, Qiang ; Yan, Ping ; Liu, Huayi.
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    RePEc:spr:joinma:v:30:y:2019:i:4:d:10.1007_s10845-017-1351-1.

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29. Methods for fault diagnosis of high-speed railways: A review. (2019). .
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    RePEc:sae:risrel:v:233:y:2019:i:5:p:908-922.

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30. A Novel Expertise-Guided Machine Learning Model for Internal Fault State Diagnosis of Power Transformers. (2019). Wu, Qunli ; Zhang, Hongjie.
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    RePEc:gam:jsusta:v:11:y:2019:i:6:p:1562-:d:213974.

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31. A Fault Detection Method for Photovoltaic Systems Based on Voltage and Current Observation and Evaluation. (2019). Hao, Xiaohong ; Pei, Tingting.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:9:p:1712-:d:228660.

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32. A fault diagnosis method for photovoltaic arrays based on fault parameters identification. (2019). Li, Yuanliang ; Chen, Xiang ; Ding, Kun ; Zhang, Jingwei ; Wu, Jiabing.
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    RePEc:eee:renene:v:143:y:2019:i:c:p:52-63.

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33. Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors. (2019). Dimri, Neha ; Tiwari, G N.
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    RePEc:eee:renene:v:134:y:2019:i:c:p:343-356.

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34. Scientific and economic comparison of outdoor characterisation methods for photovoltaic power plants. (2019). Sonnleitner, H ; Ujvari, G ; Ceder, G ; Voronko, Y ; Brantegger, G ; Muhleisen, W ; Hirschl, C ; Ebner, R ; Kubicek, B ; Spielberger, M ; Schwark, M ; Stoicescu, L ; Neumaier, L ; Knobl, K.
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35. Probability modeling for PV array output interval and its application in fault diagnosis. (2019). Sun, Qian ; Zhao, Jian ; Zhu, Honglu ; Wang, Haizheng.
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    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319437.

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36. Online reduced kernel GLRT technique for improved fault detection in photovoltaic systems. (2019). MANSOURI, Mohamed ; Trabelsi, M ; Nounou, M ; Hajji, M ; Fezai, R.
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37. A time series clustering approach for Building Automation and Control Systems. (2019). Schreiber, Thomas ; Baranski, Marc ; Bode, Gerrit ; Muller, Dirk.
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38. An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors. (2018). Al-Hamouz, Zakariya ; Abido, Mohammad ; Maraaba, Luqman.
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39. A comprehensive review on protection challenges and fault diagnosis in PV systems. (2018). Rajasekar, N ; Pillai, Dhanup S.
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40. Fault detection and diagnosis methods for photovoltaic systems: A review. (2018). Kalogirou, S A ; Tina, G M ; Mellit, A.
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41. Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems. (2018). Rajasekar, N ; Pillai, Dhanup S.
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42. Comparative and comprehensive review of maximum power point tracking methods for PV cells. (2018). Mousavi, S M ; Danandeh, M A.
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43. Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification. (2018). Krim, F ; Talbi, B ; Mellit, A ; Belaout, A ; Arabi, A.
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44. Metaheuristic optimization based fault diagnosis strategy for solar photovoltaic systems under non-uniform irradiance. (2018). Das, Saborni ; Basu, Mousumi ; Hazra, Abhik.
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45. Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches. (2018). Sun, Ying ; Hamlati, Mohamed-Elkarim ; Harrou, Fouzi ; Taghezouit, Bilal ; Saidi, Ahmed.
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46. An effective statistical fault detection technique for grid connected photovoltaic systems based on an improved generalized likelihood ratio test. (2018). Harkat, Mohamed Faouzi ; Hajji, Mansour ; Mansouri, Majdi ; Nounou, Hazem ; Al-Khazraji, Ayman ; Livera, Andreas ; Trabelsi, Mohamed.
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47. Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support. (2017). Palomares, Ivan ; Sellak, Hamza ; Ouhbi, Brahim ; Frikh, Bouchra.
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48. The role of artificial intelligence in photo-voltaic systems design and control: A review. (2017). El-Telbany, Mohammed ; Youssef, Ayman ; Zekry, Abdel Halim.
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49. Parallel fault detection algorithm for grid-connected photovoltaic plants. (2017). Holmes, Violeta ; Dales, Mark ; Dhimish, Mahmoud.
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    RePEc:eee:renene:v:113:y:2017:i:c:p:94-111.

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50. Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions. (2017). Holmes, Violeta ; Dales, Mark ; Dhimish, Mahmoud ; Zhang, LI ; Mehrdadi, Bruce ; Chong, Benjamin .
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51. Photovoltaic fault detection algorithm based on theoretical curves modelling and fuzzy classification system. (2017). Holmes, Violeta ; Mather, Peter ; Dales, Mark ; Dhimish, Mahmoud ; Mehrdadi, Bruce.
    In: Energy.
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52. Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics. (2017). Chen, Zhicong ; Wu, Yue ; Lin, Wen Cheng ; Cheng, Shuying.
    In: Applied Energy.
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53. Study of the MPP tracking algorithms: Focusing the numerical method techniques. (2016). Rahim, N A ; Selvaraj, J ; Amir, A.
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54. Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification. (2016). Kichou, Sofiane ; Silvestre, Santiago ; Mora-Lopez, Llanos ; Guglielminotti, Letizia ; Muoz-Ceron, Emilio.
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55. Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy. (2016). Chen, Zhicong ; Wu, Yue ; Cheng, Shuying ; Lin, Peijie.
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