[1] Villalva, M.G. (2009). Comprehensive approach to modelling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics, Vol. 24, pp. 1198-1208.
[2] Datta S.K, Mukhopadhyay K., Bandopadhyay S., and Saha H. (1992). An improved technique for the determination of solar cell parameters. Solid-State Electronics, 35: 1667-1673.
[3] Sulyok, G. and Summhammer, J. (2018). Extraction of a photovoltaic cell's double-diode model parameters from data sheet values. Energy Science & Engineering, 6(5), 424-436.
https://doi.org/10.1002/ese3.216.
[4] Charles, J.P. et al. (1985). Consistency of the double exponential model with physical mechanisms of conduction for a solar cell under illumination. J. Phys. D: Appl. Phys. 18 226.
[5] Ezike S. et al. (2023). Extraction of five photovoltaic parameters of nature-based dye sensitized solar cells using single diode model. Renewable Energy Research and Applications, Vol. 4, No. 2, pp 199-208.
[6] Xiao W., Lind M.G., Dunford W.G., and Capel A. (2006). Real-time identification of optimal operating points in photovoltaic power systems. IEEE Transactions on Industrial Electronics 53 (4), pp 1017–1026.
[7] Chen Y. et al. (2011). Parameters extraction from commercial solar cells I-V characteristics and shunt analysis. Applied Energy, Vol. 88, No. 6, pp 2239–2244.
[9] Ortiz-Conde A., Sánchez F.J.G., and Muci J. (2006). New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I-V characteristics. Solar Energy Materials and Solar Cells, Vol. 90 (3), pp. 352–361.
[10] Cubas, J., Pindado, S., and Victoria, M. (2014). On the analytical approach for modeling photovoltaic systems behavior. Journal of Power Sources, 247, 467-474.
[11] Tamrakar, R. and Gupta, A. (2015). A review: extraction of solar cell modelling parameters. International journal of innovative research in electrical, electronics, instrumentation and control engineering, Vol. 3, No.1, pp. 55–60.
[12] Jain, A. and Kapoor, A. (2005). Exact analytical solutions of the parameters of real solar cells using Lambert W-function. Solar Energy Materials and Solar Cells, Vol. 85, pp 391–396.
[13] Jain, A., Sharma, S., and Kapoor, A. (2006). Solar cell array parameters using Lambert W-function. Solar Energy Materials and Solar Cells, Vol. 90, pp. 25-31.
[14] Nguyen H. et al. (2022). Solar PV Modeling with Lambert W Function: An Exponential Cone Programming Approach. IEEE Kansas Power and Energy Conference (KPEC), Manhattan, KS, USA, 2022.
[15] Nassar-eddine I. et al. (2016). Parameter estimation of photovoltaic modules using iterative method and the Lambert W function: A comparative study, Energy conversion and Management, Vol. 119, pp. 37-48.
[16] Gao, X.-K & Yao, C.-A & Gao, Xiankun & Yu, Y.-C. (2014). Accuracy comparison between implicit and explicit single-diode models of photovoltaic cells and modules. Wuli Xuebao/Acta Physica Sinica. 63. 10.7498/aps.63.178401.
[17] Jinlei, D. and Radhakrishnan, R. (2008). A new method to determine the optimum load of a real solar cell using the Lambert W-function. Solar Energy Material and Solar Cells, Vol. 92, No. 12, pp. 1566–1569.
[18] Peng L. et al. (2013). A new method for determining the characteristics of solar cells. Journal of Power Sources, Vol. 227, pp. 131–136.
[19] Cubas, J., Pindado, S., and De Manuel C. (2014). Explicit Expressions for Solar Panel Equivalent Circuit Parameters based on Analytical Formulation and the Lambert W-Function. Energies. Vol. 7(7), pp 4098-4115. https://doi.org/10.3390/en7074098.
[20] Tripathy, M., Kumar, M., and Sadhu, P.K. (2017). Photovoltaic system using Lambert W function-based technique. Solar Energy, Vol. 158, pp. 432-439.
[21] Li J. et al. (2023). Extraction of Single Diode Model Parameters of Solar Cells and PV Modules by Combining an Intelligent Optimization Algorithm with Simplified Explicit Equation based on Lambert W Function. Energies, Vol. 16, No. 14, 5425.
[22] Maghami, M.R. et al. (2016). Power loss due to soiling on solar panel: A review. Renewable and Sustainable Energy Reviews, Vol. 59, pp. 1307-1316.
[23] Patel, H. and Agarwal, V. (2008). MATLAB-based modelling to study the effects of partial shading on PV array characteristics. IEEE Trans. on Energy Conversion. 23 (1), 302-310.
[24] Martinez-Moreno, F. et al. (2010). Experimental model to estimate shading losses on PV arrays. Solar Energy Materials and Solar Cells, Vol. 94, pp. 2298-2303.
[25] Paraskevadaki, E.V. and Papathanassiou, S.A. (2011). Evaluation of MPP voltage and power of mc-Si PV modules in partial shading conditions. IEEE Transactions on Energy Conversion, Vol. 26, pp. 923-932.
[26] Bastidas J. D. et al. (2013). A model of photovoltaic fields in mismatching conditions featuring and improve calculation speed. Electric Power Systems Research, Vol. 96, pp. 81-90.
[27] Batzelis, E.I. and Routsolias, I.A. (2014). An explicit PV string model based on Lambert W function and simplified MPP expressions for operation under partial shading. IEEE transactions on Sustainable energy, Vol. 5, No. 1, pp. 301-312.
[28] Fathabadi, H. (2015). Lambert W function based technique for tracking the maximum power point of PV modules connected in various configuration. Renewable Energy, Vol. 74, pp. 214-226.
[29] Argawal, N. and Kapoor, A. (2018). Investigation of the effect of partial shading on series and parallel connected solar photovoltaic modules using Lambert W-function. AIP Conf. Proc.2006,030050-1-030050-5;
https://doi.org/10.1063/1.5051306.
[30] Pendem, S.R. and Mikkili, S. (2018). Modelling and performance assessment of PV array topologies under partial shading conditions to mitigate the mismatching power losses. Solar Energy, Vol. 160, pp. 303-321.
[31] Prince Winston D. et al. (2020). Performance improvement of solar PV array topologies during various partial shading conditions. Solar Energy, Vol. 196, pp. 228–242.
[32] Bingöl, O. and Özkaya, B. (2018). Analysis and comparison of different PV array configurations under partial shading conditions. Solar Energy, Vol. 160, pp. 336–343.
[33] Kaushika, N.D. and Gautam, N.K. (2003). Energy yield simulations of interconnected solar PV arrays. IEEE Transactions on Energy Conversion, Vol. 18, No. 1, pp. 127-133.
[34] Hsu, Y.J. and Hsu, P.C. (2011). An investigation on partial shading of PV modules with different connection configurations of PV cells. Energy, Vol. 36, pp. 3069–3078.
[35] Ramaprabha, R. and Mathur, B.L. (2012). A comprehensive review and analysis of solar photovoltaic array configurations under partial shaded condition. International Journal of Photoenergy. 2012, pp 1-17.
[36] Osmani K. et al. (2022). Mitigating the effects of partial shading on PV system’s performance through PV array reconfiguration: A review. Thermal Science and Engineering Progress, Vol. 31, 101280.
[37] Rezazadeh S. et al. (2022). Photovoltaic array reconfiguration under partial shading conditions for maximum power extraction: A state-of-the-art review and new solution method. Energy Conversion and Management, Vol. 258, 115468.
[38] Gao X. et al. (2023) Divide and Conquer Q-Learning (DCQL) algorithm based Photovoltaic (PV) array reconfiguration scheme for alleviating the partial shading influence, Solar Energy, Volume 249, pp. 21-39.
[39] Solis-Cisneros H. I. et al. (2022). A dynamic reconfiguration method based on neuro-fuzzy control algorithm for partially shaded PV arrays. Sustainable Energy Technologies and Assessments, Volume 52, Part B, 102147, ISSN 2213-1388.
[40] Sagar G. et al. (2020). A Su Do Ku puzzle based shade dispersion for maximum power enhancement of partially shaded hybrid bridge-link-total-cross-tied PV array. Solar Energy, Vol. 204, pp. 161–180, doi: 10.1016/j.solener.2020.04.054.
[41] Agrawal N. et al. (2021). Performance Enhancement by Novel Hybrid PV Array Without and With By-pass Diode Under Partial Shaded Conditions: An Experimental Study. International journal of renewable energy research, Vol. 11, No. 4, pp 1881-1891.
[42] Agrawal, N., Bora, B., and Kapoor, A. (2020). Experimental investigations of fault tolerance due to shading in photovoltaic modules with different interconnected solar cell networks. Solar Energy, Vol. 211, pp. 1239-1254.
[43] Bana, S. and Saini, R.P. (2017). Experimental investigation on power output of different photovoltaic array configurations under uniform and partial shading scenarios. Energy, Vol. 127, pp. 438–453.
[44] Drif, M. et al. (2012). A comprehensive method for estimating energy losses due to shading of GC-BIPV systems using monitoring data. Solar Energy, Vol. 86, No. 9, pp. 2397–2404.
[45] Saber, S. E. et al. (2014). PV (photovoltaics) performance evaluation and simulation-based energy yield prediction for tropical buildings. Energy, Vol. 71, pp. 588–595. doi: 10.1016/j.energy.2014.04.115.