Artificial neural network modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules

Solar Energy

Volumn 85, Issue 10, 2011, Pages 2507-2517

  Celik, Ali Naci ^a  

^a ABANT IZZET BAYSAL UNIVERSITY   (Turkey)

Author keywords

Analytical modelling; Artificial neural network modelling; Generalised regression neural network; Modelling photovoltaic cells

Indexed keywords

ALTERNATIVE METHODS; ANALYTICAL MODEL; ANALYTICAL MODELLING; ARTIFICIAL NEURAL NETWORK; COMPACT SOLUTIONS; COMPUTATIONAL EFFORT; EQUIVALENT ELECTRICAL CIRCUITS; EXPERIMENTAL VERIFICATION; GENERALISED REGRESSION NEURAL NETWORK; INTERNAL SYSTEMS; MEASURED CURRENTS; MODELLING PHOTOVOLTAIC CELLS; MULTI VARIABLES; OPERATING CURRENTS; PHOTOVOLTAIC MODULES; REGRESSION NEURAL NETWORKS; REVERSE-SATURATION CURRENTS; SERIES AND SHUNT RESISTANCES;

COMPUTER SIMULATION; CRYSTALLINE MATERIALS; ELECTRIC NETWORK ANALYSIS; ENERGY CONVERSION; MATHEMATICAL MODELS; MODELS; PHOTOVOLTAIC CELLS; PHOTOVOLTAIC EFFECTS;

NEURAL NETWORKS;

ANALYTICAL FRAMEWORK; ARTIFICIAL NEURAL NETWORK; PHOTOVOLTAIC SYSTEM; REGRESSION ANALYSIS;

EID: 80052289721     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2011.07.009     Document Type: Article

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