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 | 383 | 2017 |
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 | 287 | 2019 |
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 | 281 | 2018 |
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 | 209 | 2016 |
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 | 168 | 2019 |
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 | 166 | 2017 |
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 | 164 | 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 | 142 | 2018 |
Dynamic testing of a laboratory model via vision-based sensing LJ Wu, F Casciati, S Casciati Engineering structures 60, 113-125, 2014 | 106 | 2014 |
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 | 91 | 2020 |
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 | 73 | 2019 |
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 | 73 | 2017 |
Local positioning systems versus structural monitoring: a review L Wu, F Casciati Structural Control and Health Monitoring 21 (9), 1209-1221, 2014 | 55 | 2014 |
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 | 49 | 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 (1), 4903613, 2017 | 45 | 2017 |
Surface crack detection based on image stitching and transfer learning with pretrained convolutional neural network L Wu, X Lin, Z Chen, P Lin, S Cheng Structural Control and Health Monitoring 28 (8), e2766, 2021 | 43 | 2021 |
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 | 43 | 2018 |
A capacitor based fast IV characteristics tester for photovoltaic arrays Z Chen, W Lin, L Wu, C Long, P Lin, S Cheng Energy Procedia 145, 381-387, 2018 | 36 | 2018 |
Local positioning accuracy of laser sensors for structural health monitoring F Casciati, LJ Wu Structural Control and Health Monitoring 20 (5), 728-739, 2013 | 35 | 2013 |
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 | 34 | 2017 |