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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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  26. 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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  27. A Case Study of a Virtual Power Plant (VPP) as a Data Acquisition Tool for PV Energy Forecasting. (2021). Popawski, Tomasz ; Dudzik, Sebastian ; Szelg, Piotr ; Baran, Janusz.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:19:p:6200-:d:645626.

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  28. Operation Problems of Solar Panel Caused by the Surface Contamination. (2021). Bodnar, Istvan ; Matusz-Kalasz, David.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:17:p:5461-:d:627522.

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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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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  34. 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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  35. 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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  36. 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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  37. 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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  38. 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.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:18:p:4935-:d:416417.

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

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  41. 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.
    In: Applied Energy.
    RePEc:eee:appene:v:263:y:2020:i:c:s0306261920301549.

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

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  43. Methods for fault diagnosis of high-speed railways: A review. (2019). .
    In: Journal of Risk and Reliability.
    RePEc:sae:risrel:v:233:y:2019:i:5:p:908-922.

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

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  45. 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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  46. Special Issue “Intelligent Control in Energy Systems”. (2019). Dounis, Anastasios.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:15:p:3017-:d:254989.

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

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

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  49. Probability modeling for PV array output interval and its application in fault diagnosis. (2019). Sun, Qian ; Zhao, Jian ; Zhu, Honglu ; Wang, Haizheng.
    In: Energy.
    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319437.

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  50. Online reduced kernel GLRT technique for improved fault detection in photovoltaic systems. (2019). MANSOURI, Mohamed ; Trabelsi, M ; Nounou, M ; Hajji, M ; Fezai, R.
    In: Energy.
    RePEc:eee:energy:v:179:y:2019:i:c:p:1133-1154.

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  51. An Efficient Stator Inter-Turn Fault Diagnosis Tool for Induction Motors. (2018). Al-Hamouz, Zakariya ; Abido, Mohammad ; Maraaba, Luqman.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:3:p:653-:d:136276.

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  52. A comprehensive review on protection challenges and fault diagnosis in PV systems. (2018). Rajasekar, N ; Pillai, Dhanup S.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:91:y:2018:i:c:p:18-40.

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  53. Fault detection and diagnosis methods for photovoltaic systems: A review. (2018). Kalogirou, S A ; Tina, G M ; Mellit, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:91:y:2018:i:c:p:1-17.

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  54. 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.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:82:y:2018:i:p3:p:3503-3525.

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  55. Comparative and comprehensive review of maximum power point tracking methods for PV cells. (2018). Mousavi, S M ; Danandeh, M A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:82:y:2018:i:p3:p:2743-2767.

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  56. 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.
    In: Renewable Energy.
    RePEc:eee:renene:v:127:y:2018:i:c:p:548-558.

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  57. Metaheuristic optimization based fault diagnosis strategy for solar photovoltaic systems under non-uniform irradiance. (2018). Das, Saborni ; Basu, Mousumi ; Hazra, Abhik.
    In: Renewable Energy.
    RePEc:eee:renene:v:118:y:2018:i:c:p:452-467.

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  58. 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.
    In: Renewable Energy.
    RePEc:eee:renene:v:116:y:2018:i:pa:p:22-37.

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  59. 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.
    In: Energy.
    RePEc:eee:energy:v:159:y:2018:i:c:p:842-856.

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  60. Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support. (2017). Palomares, Ivan ; Sellak, Hamza ; Ouhbi, Brahim ; Frikh, Bouchra.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:80:y:2017:i:c:p:1544-1577.

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  61. The role of artificial intelligence in photo-voltaic systems design and control: A review. (2017). El-Telbany, Mohammed ; Youssef, Ayman ; Zekry, Abdel Halim.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:78:y:2017:i:c:p:72-79.

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  62. Parallel fault detection algorithm for grid-connected photovoltaic plants. (2017). Holmes, Violeta ; Dales, Mark ; Dhimish, Mahmoud.
    In: Renewable Energy.
    RePEc:eee:renene:v:113:y:2017:i:c:p:94-111.

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  63. 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 .
    In: Renewable Energy.
    RePEc:eee:renene:v:113:y:2017:i:c:p:438-460.

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  64. 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.
    RePEc:eee:energy:v:140:y:2017:i:p1:p:276-290.

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  65. 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.
    RePEc:eee:appene:v:204:y:2017:i:c:p:912-931.

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  66. Study of the MPP tracking algorithms: Focusing the numerical method techniques. (2016). Rahim, N A ; Selvaraj, J ; Amir, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:62:y:2016:i:c:p:350-371.

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  67. 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.
    In: Renewable Energy.
    RePEc:eee:renene:v:99:y:2016:i:c:p:270-279.

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  68. 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.
    In: Applied Energy.
    RePEc:eee:appene:v:182:y:2016:i:c:p:47-57.

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