1 |
Artificial electric field algorithm to extract nine parameters of triple-diode photovoltaic model Selem SI, El-Fergany AA, Hasanien HM International Journal of Energy Research, 45(1), 590, 2021 |
2 |
Experimental comparative study of photovoltaic models for uniform and partially shading conditions Moreira HS, Silva JLD, dos Reis MVG, Mesquita DD, de Paula BHK, Villalva MG Renewable Energy, 164, 58, 2021 |
3 |
Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm Qais MH, Hasanien HM, Alghuwainem S Applied Energy, 250, 109, 2019 |
4 |
Computational modeling and experimental analysis of heterojunction with intrinsic thin-layer photovoltaic module under different environmental conditions Gulkowski S, Diez JVM, Tejero JA, Nofuentes G Energy, 172, 380, 2019 |
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Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics Chen ZC, Chen YX, Wu LJ, Cheng SY, Lin PJ, You LL Energy Conversion and Management, 186, 168, 2019 |
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Optimal SuDoKu Reconfiguration Technique for Total-Cross-Tied PV Array to Increase Power Output Under Non-Uniform Irradiance Krishna GS, Moger T IEEE Transactions on Energy Conversion, 34(4), 1973, 2019 |
7 |
Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters Chen X, Yu KJ Solar Energy, 180, 192, 2019 |
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Sesame: A 2-dimensional solar cell modeling tool Gaury B, Sun YB, Bermel P, Haney PM Solar Energy Materials and Solar Cells, 198, 53, 2019 |
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Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm Wu LJ, Chen ZC, Long C, Cheng SY, Lin PJ, Chen YX, Chen HH Applied Energy, 232, 36, 2018 |
10 |
Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics Chen ZC, Wu LJ, Cheng SY, Lin PJ, Wu Y, Lin WC Applied Energy, 204, 912, 2017 |