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Citations (21)
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G. Karthikeyan & A. Jagadeeshwaran. (2024) Enhancing Solar Energy Generation: A Comprehensive Machine Learning-Based PV Prediction and Fault Analysis System for Real-Time Tracking and Forecasting. Electric Power Components and Systems 52:9, pages 1497-1512.
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Pulavarthi Satya Venkata Kishore, Jami Rajesh, Nakka Jayaram & Sukanta Halder. (2024) A Survey of Machine Learning Applications in Renewable Energy Sources. IETE Journal of Research 70:2, pages 1389-1406.
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Juntao Zhang, Shan Wang, Yuanqing Xin, Maoyao Hang & Dedong Gao. (2021) The cleaning force of solar panel based on flexible beam. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-22.
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Patrick Juvet Gnetchejo, Salomé Ndjakomo Essiane, Pierre Ele, Abdouramani Dadjé & Zhicong Chen. (2021) Faults diagnosis in a photovoltaic system based on multivariate statistical analysis. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-22.
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Ishan Srivastava, Sunil Bhat & Arvind R. Singh. (2020) Fault diagnosis, service restoration, and data loss mitigation through multi-agent system in a smart power distribution grid. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-26.
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Shuxia Wei, Yang Liu, Wu Chen, Xiaofei Zhang & Mijia Zhu. (2020) Process conditions of gas production in the electrochemical treatment of fracturing flowback fluid process based on support vector machine method. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-11.
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Articles from other publishers (15)
Soumitra Saha. 2024. Applying Machine Learning Techniques to Bioinformatics. Applying Machine Learning Techniques to Bioinformatics
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Weihong Su, Dedong Gao, Shan Wang, Yongxin Wang, Desheng Zhao & Shuai Zhang. (2024) An improved reflectometry-based fault location scheme for suppressing multiple reflections in large-scale photovoltaic strings. Solar Energy 270, pages 112389.
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Sowthily Chandrasekharan, Senthil Kumar Subramaniam & C. Mythili. 2024. Proceedings from the International Conference on Hydro and Renewable Energy. Proceedings from the International Conference on Hydro and Renewable Energy
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Wei Chen, Xinyin Zhang, Tingting Pei & Cong Ding. 2024. The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023). The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023)
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P. Sampurna Lakshmi, S. Sivagamasundari & Manjula Sri Rayudu. 2024. Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy. Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy
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Siti Nor Azlina M. Ghazali, Muhamad Zahim Sujod & Mohd Shawal Jadin. (2023) A Multi-Scale Smart Fault Diagnosis Model Based on Waveform Length and Autoregressive Analysis for PV System Maintenance Strategies. Chinese Journal of Electrical Engineering 9:3, pages 99-110.
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M. Piliougine & G. Spagnuolo. (2023) Support Vector Classifiers with Different Kernel Functions to Detect Mismatching Conditions Affecting Photovoltaic Arrays. Support Vector Classifiers with Different Kernel Functions to Detect Mismatching Conditions Affecting Photovoltaic Arrays.
Amir Nedaei, Aref Eskandari, Jafar Milimonfared, Berhane Darsene Dimd, Umit Cali & Mohammadreza Aghaei. (2023) A Smart Step-by-Step Method for Fault Detection and Severity Assessment in Photovoltaic Arrays. A Smart Step-by-Step Method for Fault Detection and Severity Assessment in Photovoltaic Arrays.
Sufyan Ali Memon, Qaiser Javed, Wan-Gu Kim, Zahid Mahmood, Uzair Khan & Mohsin Shahzad. (2022) A Machine-Learning-Based Robust Classification Method for PV Panel Faults. Sensors 22:21, pages 8515.
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Pankaj Dhoundiyal, Yatindra Kumar, Sachin Negi & Anjali Barthwal. (2022) Fault Detection and Classification in Solar Photovoltaic Array. Fault Detection and Classification in Solar Photovoltaic Array.
Ali Vahidi & Masoud Aliakbar Golkar. (2022) Fault Detection and Classification in PV Arrays Using Machine Learning Algorithms in the Presence of Noisy Data. Fault Detection and Classification in PV Arrays Using Machine Learning Algorithms in the Presence of Noisy Data.
Michel Piliougine, Rudy Alexis Guejia-Burbano & Giovanni Spagnuolo. (2022) Detecting Partial Shadowing and Mismatching Phenomena in Photovoltaic Arrays by Machine Learning Techniques. IEEE Open Journal of the Industrial Electronics Society 3, pages 507-521.
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Shiguang Zhang, Ge Feng, Feng Yuan & Shuangle Guo. (2022) Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application. IEEE Access 10, pages 111738-111748.
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Yasemin Onal & Umit Cigdem Turhal. (2021) Discriminative common vector in sufficient data Case: A fault detection and classification application on photovoltaic arrays. Engineering Science and Technology, an International Journal 24:5, pages 1168-1179.
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Junqi Luo, Liucun Zhu, Quanfang Li, Daopeng Liu & Mingyou Chen. (2021) Imbalanced Fault Diagnosis of Rotating Machinery Based on Deep Generative Adversarial Networks with Gradient Penalty. Processes 9:10, pages 1751.
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