| Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and IV characteristics Z Chen, L Wu, S Cheng, P Lin, Y Wu, W Lin Applied energy 204, 912-931, 2017 | 334 | 2017 |
| Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents Z Chen, F Han, L Wu, J Yu, S Cheng, P Lin, H Chen Energy conversion and management 178, 250-264, 2018 | 239 | 2018 |
| Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions Z Chen, Y Chen, L Wu, S Cheng, P Lin Energy Conversion and Management 198, 111793, 2019 | 230 | 2019 |
| Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy Z Chen, L Wu, P Lin, Y Wu, S Cheng Applied Energy 182, 47-57, 2016 | 190 | 2016 |
| Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm P Lin, S Cheng, W Yeh, Z Chen, L Wu Solar Energy 144, 594-603, 2017 | 157 | 2017 |
| Fault diagnosis for photovoltaic array based on convolutional neural network and electrical time series graph X Lu, P Lin, S Cheng, Y Lin, Z Chen, L Wu, Q Zheng Energy Conversion and Management 196, 950-965, 2019 | 139 | 2019 |
| Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets P Lin, Z Peng, Y Lai, S Cheng, Z Chen, L Wu Energy Conversion and Management 177, 704-717, 2018 | 130 | 2018 |
| Parameter extraction of photovoltaic models from measured IV characteristics curves using a hybrid trust-region reflective algorithm L Wu, Z Chen, C Long, S Cheng, P Lin, Y Chen, H Chen Applied Energy 232, 36-53, 2018 | 122 | 2018 |
| Very-short-term power prediction for PV power plants using a simple and effective RCC-LSTM model based on short term multivariate historical datasets B Chen, P Lin, Y Lai, S Cheng, Z Chen, L Wu Electronics 9 (2), 289, 2020 | 73 | 2020 |
| An intelligent fault diagnosis approach for PV array based on SA-RBF kernel extreme learning machine Y Wu, Z Chen, L Wu, P Lin, S Cheng, P Lu Energy Procedia 105, 1070-1076, 2017 | 66 | 2017 |
| An active mass damper system for structural control using real‐time wireless sensors S Casciati, ZC Chen Structural Control and Health Monitoring 19 (8), 758-767, 2012 | 60 | 2012 |
| A multi‐channel wireless connection system for structural health monitoring applications S Casciati, ZC Chen Structural Control and Health Monitoring 18 (5), 588-600, 2011 | 59 | 2011 |
| Accurate modeling of photovoltaic modules using a 1-D deep residual network based on IV characteristics Z Chen, Y Chen, L Wu, S Cheng, P Lin, L You Energy conversion and management 186, 168-187, 2019 | 56 | 2019 |
| Energy harvesting and power management of wireless sensors for structural control applications in civil engineering S Casciati, L Faravelli, Z Chen Smart Structures and Systems 10 (3), 299-312, 2012 | 42 | 2012 |
| Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of IV curves Z Chen, H Yu, L Luo, L Wu, Q Zheng, Z Wu, S Cheng, P Lin Applied Energy 292, 116929, 2021 | 41 | 2021 |
| A density peak-based clustering approach for fault diagnosis of photovoltaic arrays P Lin, Y Lin, Z Chen, L Wu, L Chen, S Cheng International Journal of Photoenergy 2017, 2017 | 41 | 2017 |
| Simplex simplified swarm optimisation for the efficient optimisation of parameter identification for solar cell models WC Yeh, CL Huang, P Lin, Z Chen, Y Jiang, B Sun IET Renewable Power Generation 12 (1), 45-51, 2018 | 38 | 2018 |
| Automated pixel-level surface crack detection using U-Net J Ji, L Wu, Z Chen, J Yu, P Lin, S Cheng Multi-disciplinary Trends in Artificial Intelligence: 12th International …, 2018 | 35 | 2018 |
| On-line monitoring system of PV array based on internet of things technology YF Li, PJ Lin, HF Zhou, ZC Chen, LJ Wu, SY Cheng, FP Su IOP Conference Series: Earth and Environmental Science 93 (1), 012078, 2017 | 33 | 2017 |
| A low‐noise, real‐time, wireless data acquisition system for structural monitoring applications Z Chen, F Casciati Structural Control and Health Monitoring 21 (7), 1118-1136, 2014 | 33 | 2014 |
Lijun WuFuzhou UniversityVerified email at fzu.edu.cn
