| 1 |
Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning
Akram MW, Li GQ, Jin Y, Chen X, Zhu CG, Ahmad A
Solar Energy, 198, 175, 2020 |
| 2 |
A machine learning framework to identify the hotspot in photovoltaic module using infrared thermography
Ali MU, Khan HF, Masud M, Kallu KD, Zafar A
Solar Energy, 208, 643, 2020 |
| 3 |
Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier
Niazi KAK, Akhtar W, Khan HA, Yang Y, Athar S
Solar Energy, 190, 34, 2019 |
| 4 |
On enhancing energy harvesting performance of the photovoltaic modules using an automatic cooling system and assessing its economic benefits of mitigating greenhouse effects on the environment
Wang JC, Liao MS, Lee YC, Liu CY, Kuo KC, Chou CY, Huang CK, Jiang JA
Journal of Power Sources, 376, 55, 2018 |
| 5 |
Development of a new compound method to extract the five parameters of PV modules
Bai JB, Liu S, Hao YZ, Zhang Z, Jiang M, Zhang Y
Energy Conversion and Management, 79, 294, 2014 |
| 6 |
On evaluating the effects of the incident angle on the energy harvesting performance and MPP estimation of PV modules
Jiang JA, Wang JC, Kuo KC, Su YL, Shieh JC
International Journal of Energy Research, 38(10), 1304, 2014 |
| 7 |
Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions
Jiang JA, Wang JC, Kuo KC, Su YL, Shieh JC, Chou JJ
Energy, 44(1), 292, 2012 |
| 8 |
A novel method for the determination of dynamic resistance for photovoltaic modules
Wang JC, Shieh JC, Su YL, Kuo KC, Chang YW, Liang YT, Chou JJ, Liao KC, Jiang JA
Energy, 36(10), 5968, 2011 |
| 9 |
Evaluation of MPP Voltage and Power of mc-Si PV Modules in Partial Shading Conditions
Paraskevadaki EV, Papathanassiou SA
IEEE Transactions on Energy Conversion, 26(3), 923, 2011 |
