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Lijun Wu
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Year
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
3352017
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
2412018
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
2322019
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
1922016
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
1582017
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
1422019
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
1302018
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
1242018
Dynamic testing of a laboratory model via vision-based sensing
LJ Wu, F Casciati, S Casciati
Engineering structures 60, 113-125, 2014
962014
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
742020
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
662017
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
562019
Local positioning systems versus structural monitoring: a review
L Wu, F Casciati
Structural Control and Health Monitoring 21 (9), 1209-1221, 2014
482014
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
412021
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
412017
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
362018
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
332017
Local positioning accuracy of laser sensors for structural health monitoring
F Casciati, LJ Wu
Structural Control and Health Monitoring 20 (5), 728-739, 2013
332013
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
302021
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
302018
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