Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology

Renewable and Sustainable Energy Reviews

Volumn 75, Issue , 2017, Pages 938-953

  Almonacid, Florencia ^a   Fernandez, Eduardo F ^a   Mellit, Adel ^b   Kalogirou, Soteris ^c  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF JIJEL   (Algeria)

^c CYPRUS UNIVERSITY OF TECHNOLOGY   (Cyprus)

Author keywords

Artificial neural networks; Concentrator photovoltaics; Electrical characterization

Indexed keywords

COMPLEX NETWORKS; CONCENTRATION (PROCESS); NEURAL NETWORKS; SEMICONDUCTOR DEVICES; SEMICONDUCTOR MATERIALS; SOLAR CELLS;

% REDUCTIONS; ARTIFICIAL NEURON NETWORKS; COMPLEX PROBLEMS; CONCENTRATOR PHOTOVOLTAICS; ELECTRICAL CHARACTERIZATION; ELECTRICAL MODELING; ENERGY COMPONENTS; NONLINEAR PROBLEMS; PHOTOVOLTAIC TECHNOLOGY; RENEWABLE ENERGIES;

FOSSIL FUELS;

EID: 85006489178     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2016.11.075     Document Type: Review

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