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Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation. (2021). Castillo-Sierra, R ; Rodriguez, J ; Ramirez, D ; Carrero, C.
In: Renewable Energy.
RePEc:eee:renene:v:173:y:2021:i:c:p:351-361.

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  1. Variable importance analysis of wind turbine extreme responses with Shapley value explanation. (2024). Zhang, Xiaodong ; Dimitrov, Nikolay.
    In: Renewable Energy.
    RePEc:eee:renene:v:232:y:2024:i:c:s0960148124011170.

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  2. Dynamic evolution and driving factors of new energy development: Fresh evidence from China. (2022). Pan, Yuling ; Dong, Feng.
    In: Technological Forecasting and Social Change.
    RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162522000075.

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  51. Analytical resolution of the electrical four-parameters model of a photovoltaic module using small perturbation around the operating point. (2012). Blanes, Jose M. ; Martinez, Jose A. ; Toledo, F. J. ; Garrigos, Ausias.
    In: Renewable Energy.
    RePEc:eee:renene:v:43:y:2012:i:c:p:83-89.

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  52. A high-flexibility DC load for fuel cell and solar arrays power sources based on DC-DC converters. (2011). Andujar, J. M. ; Segura, F. ; Duran, E. ; Barragan, A. J..
    In: Applied Energy.
    RePEc:eee:appene:v:88:y:2011:i:5:p:1690-1702.

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  53. Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis. (2010). Reggiani, U. ; Artioli, M. ; Sandrolini, L..
    In: Applied Energy.
    RePEc:eee:appene:v:87:y:2010:i:2:p:442-451.

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  54. Characterisation of Si-crystalline PV modules by artificial neural networks. (2009). Fuentes, M. ; Hontoria, L. ; Nofuentes, G. ; Almonacid, F. ; Rus, C..
    In: Renewable Energy.
    RePEc:eee:renene:v:34:y:2009:i:4:p:941-949.

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  55. Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models. (2007). Acikgoz, NasIr ; Celik, Ali Naci.
    In: Applied Energy.
    RePEc:eee:appene:v:84:y:2007:i:1:p:1-15.

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