An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine
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Ying Sun | Fouzi Harrou | Bilal Taghezouit | Abdelkader Dairi | F. Harrou | Ying Sun | B. Taghezouit | Abdelkader Dairi
[1] N. Panwar,et al. Role of renewable energy sources in environmental protection: A review , 2011 .
[2] Josep M. Guerrero,et al. Transient Monitoring Function–Based Fault Detection for Inverter-Interfaced Microgrids , 2018, IEEE Transactions on Smart Grid.
[3] Wei Zhou,et al. A novel model for photovoltaic array performance prediction , 2007 .
[4] C. Nagamani,et al. A Method to Detect Photovoltaic Array Faults and Partial Shading in PV Systems , 2016, IEEE Journal of Photovoltaics.
[5] Mikhail Sorin,et al. Explicit model of photovoltaic panels to determine voltages and currents at the maximum power point , 2011 .
[6] Greg Ball,et al. Comparative Evaluation of DC Fault-Mitigation Techniques in Large PV Systems , 2015, IEEE Journal of Photovoltaics.
[7] Nabil Zerrouki,et al. Statistical Monitoring of Changes to Land Cover , 2018, IEEE Geoscience and Remote Sensing Letters.
[8] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[9] Ying Sun,et al. Statistical fault detection in photovoltaic systems , 2017 .
[10] Xiaodong Wang,et al. Quickest Fault Detection in Photovoltaic Systems , 2018, IEEE Transactions on Smart Grid.
[11] Giuseppe Acciani,et al. Descriptive and Inferential Statistics for Supervising and Monitoring the Operation of PV Plants , 2009, IEEE Transactions on Industrial Electronics.
[12] Fouzi Harrou,et al. Unsupervised obstacle detection in driving environments using deep-learning-based stereovision , 2018, Robotics Auton. Syst..
[13] Aissa Chouder,et al. Monitoring, modelling and simulation of PV systems using LabVIEW , 2013 .
[14] N. Rajasekar,et al. A comprehensive review on protection challenges and fault diagnosis in PV systems , 2018, Renewable and Sustainable Energy Reviews.
[15] Santiago Silvestre. Strategies for Fault Detection and Diagnosis of PV Systems , 2018 .
[16] Zhehan Yi,et al. Line-to-Line Fault Detection for Photovoltaic Arrays Based on Multiresolution Signal Decomposition and Two-Stage Support Vector Machine , 2017, IEEE Transactions on Industrial Electronics.
[17] David L. Olson,et al. Advanced Data Mining Techniques , 2008 .
[18] Aboelsood Zidan,et al. Fault Detection, Isolation, and Service Restoration in Distribution Systems: State-of-the-Art and Future Trends , 2017, IEEE Transactions on Smart Grid.
[19] Aissa Chouder,et al. Modeling and simulation of a grid connected PV system based on the evaluation of main PV module parameters , 2012, Simul. Model. Pract. Theory.
[20] Zhehan Yi,et al. Fault Detection for Photovoltaic Systems Based on Multi-Resolution Signal Decomposition and Fuzzy Inference Systems , 2017, IEEE Transactions on Smart Grid.
[21] Goran Knežević,et al. The mathematical model for finding an optimal PV system configuration for the given installation area providing a maximal lifetime profit , 2017 .
[22] Soteris A. Kalogirou,et al. Fault detection and diagnosis methods for photovoltaic systems: A review , 2018, Renewable and Sustainable Energy Reviews.
[23] T. Hiyama,et al. Controlling of artificial neural network for fault diagnosis of photovoltaic array , 2011, 2011 16th International Conference on Intelligent System Applications to Power Systems.
[24] Jay Johnson,et al. A Comprehensive Review of Catastrophic Faults in PV Arrays: Types, Detection, and Mitigation Techniques , 2015, IEEE Journal of Photovoltaics.
[25] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.
[26] William A. Beckman,et al. Improvement and validation of a model for photovoltaic array performance , 2006 .
[27] A. Hadj Arab,et al. Improvement and validation of PV motor-pump model for PV pumping system performance analysis , 2017 .
[28] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[29] Saeed Lotfifard,et al. Modeling and Health Monitoring of DC Side of Photovoltaic Array , 2015, IEEE Transactions on Sustainable Energy.
[30] Rabah Benkercha,et al. Fault detection and diagnosis based on C4.5 decision tree algorithm for grid connected PV system , 2018, Solar Energy.
[31] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[32] H. Mekki,et al. Artificial neural network-based modelling and fault detection of partial shaded photovoltaic modules , 2016, Simul. Model. Pract. Theory.
[33] Wei Wang,et al. Incident detection algorithm based on partial least squares regression , 2008 .
[34] J. Ma,et al. Time-series novelty detection using one-class support vector machines , 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..
[35] Derrick Holliday,et al. Thermography-Based Virtual MPPT Scheme for Improving PV Energy Efficiency Under Partial Shading Conditions , 2014, IEEE Transactions on Power Electronics.
[36] Siva Ramakrishna Madeti,et al. Modeling of PV system based on experimental data for fault detection using kNN method , 2018, Solar Energy.
[37] Ye Zhao,et al. Line–Line Fault Analysis and Protection Challenges in Solar Photovoltaic Arrays , 2013, IEEE Transactions on Industrial Electronics.
[38] Imane Drouiche,et al. A new approach for modelling the aging PV module upon experimental I–V curves by combining translation method and five-parameters model , 2018, Electric Power Systems Research.
[39] Tian Zhang,et al. BIRCH: an efficient data clustering method for very large databases , 1996, SIGMOD '96.
[40] Ying Sun,et al. Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches , 2018 .
[41] Ying Sun,et al. Robust and flexible strategy for fault detection in grid-connected photovoltaic systems , 2019, Energy Conversion and Management.