| On the perturb-and-observe and incremental conductance MPPT methods for PV systems D Sera, L Mathe, T Kerekes, SV Spataru, R Teodorescu IEEE journal of photovoltaics 3 (3), 1070-1078, 2013 | 829 | 2013 |
| Diagnostic method for photovoltaic systems based on light I–V measurements S Spataru, D Sera, T Kerekes, R Teodorescu Solar Energy 119, 29-44, 2015 | 116 | 2015 |
| Accelerated testing and modeling of potential-induced degradation as a function of temperature and relative humidity P Hacke, S Spataru, K Terwilliger, G Perrin, S Glick, S Kurtz, ... IEEE Journal of Photovoltaics 5 (6), 1549-1553, 2015 | 98 | 2015 |
| Comparative Study of Ramp-Rate Control Algorithms for PV with Energy Storage Systems J Martins, S Spataru, D Sera, DI Stroe, A Lashab Energies 12 (7), 1342, 2019 | 77 | 2019 |
| A Direct Maximum Power Point Tracking Method for Single-Phase Grid-Connected PV Inverters F El Aamri, H Maker, D Sera, SV Spataru, JM Guerrero, A Mouhsen IEEE Transactions on Power Electronics 33 (10), 8961-8971, 2018 | 52 | 2018 |
| Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters S Spataru, P Hacke, D Sera 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 1602-1607, 2016 | 47 | 2016 |
| Temperature‐dependency analysis and correction methods of in situ power‐loss estimation for crystalline silicon modules undergoing potential‐induced … S Spataru, P Hacke, D Sera, C Packard, T Kerekes, R Teodorescu Progress in Photovoltaics: Research and Applications 23 (11), 1536-1549, 2015 | 47 | 2015 |
| Detection of increased series losses in PV arrays using Fuzzy Inference Systems S Spataru, D Sera, T Kerekes, R Teodorescu 2012 38th IEEE Photovoltaic Specialists Conference, 000464-000469, 2012 | 47 | 2012 |
| Drone-based daylight electroluminescence imaging of PV modules GA dos Reis Benatto, C Mantel, S Spataru, AAS Lancia, N Riedel, ... IEEE Journal of Photovoltaics 10 (3), 872-877, 2020 | 44 | 2020 |
| Complete methodology on generating realistic wind speed profiles based on measurements C Gavriluta, S Spataru, I Mosincat, C Citro, I Candela, P Rodriguez International conference on renewable energies and power quality 1, 1757-1762, 2012 | 44 | 2012 |
| Advancing reliability assessments of photovoltaic modules and materials using combined‐accelerated stress testing M Owen‐Bellini, P Hacke, DC Miller, MD Kempe, S Spataru, T Tanahashi, ... Progress in Photovoltaics: Research and Applications 29 (1), 64-82, 2021 | 41 | 2021 |
| Multiple-power-sample based P&O MPPT for fast-changing irradiance conditions for a simple implementation H Abouadane, A Fakkar, D Sera, A Lashab, S Spataru, T Kerekes IEEE Journal of Photovoltaics 10 (5), 1481-1488, 2020 | 41 | 2020 |
| Photovoltaic array condition monitoring based on online regression of performance model S Spataru, D Sera, T Kerekes, R Teodorescu 2013 IEEE 39th Photovoltaic Specialists Conference (PVSC), 0815-0820, 2013 | 40 | 2013 |
| Quantifying solar cell cracks in photovoltaic modules by electroluminescence imaging S Spataru, P Hacke, D Sera, S Glick, T Kerekes, R Teodorescu 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC), 1-6, 2015 | 39 | 2015 |
| Combined-Accelerated Stress Testing System for Photovoltaic Modules S Spataru, P Hacke, M Owen-Bellini 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC)(A …, 2018 | 31 | 2018 |
| Fault identification in crystalline silicon PV modules by complementary analysis of the light and dark current–voltage characteristics SV Spataru, D Sera, P Hacke, T Kerekes, R Teodorescu Progress in Photovoltaics: Research and Applications 24 (4), 517-532, 2016 | 31 | 2016 |
| Combined and Sequential Accelerated Stress Testing for Derisking Photovoltaic Modules P Hacke, M Owen-Bellini, M Kempe, DC Miller, T Tanahashi, K Sakurai, ... Advanced Micro-and Nanomaterials for Photovoltaics, 279-313, 2019 | 30 | 2019 |
| Combined-accelerated stress testing for advanced reliability assessment of photovoltaic modules M Owen-Bellini, P Hacke, D Kern, D Miller, M Kempe, S Spataru, H North National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020 | 29 | 2020 |
| Machine learning prediction of defect types for electroluminescence images of photovoltaic panels C Mantel, F Villebro, GA dos Reis Benatto, HR Parikh, S Wendlandt, ... Applications of Machine Learning 11139, 1113904, 2019 | 29 | 2019 |
| Elucidating PID degradation mechanisms and in situ dark I–V monitoring for modeling degradation rate in CdTe thin-film modules P Hacke, S Spataru, S Johnston, K Terwilliger, K VanSant, M Kempe, ... IEEE Journal of Photovoltaics 6 (6), 1635-1640, 2016 | 29 | 2016 |
Dezso SeraQueensland University of TechnologyAdresse e-mail validée de qut.edu.au
