Characterisation of Si-crystalline PV modules by artificial neural networks

Renewable Energy

Volumn 34, Issue 4, 2009, Pages 941-949

  Almonacid, F ^a   Rus, C ^a   Hontoria, L ^a   Fuentes, M ^a   Nofuentes, G ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Artificial neural network; PV modules; Si crystalline

Indexed keywords

BACKPROPAGATION; CRYSTALLINE MATERIALS; ELECTRIC FAULT LOCATION; PHOTOVOLTAIC EFFECTS; SILICON; VEGETATION;

ACCURATE PREDICTIONS; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CELL TEMPERATURES; CHARACTERISATION; ELECTRICAL CHARACTERISATION; MEASURED VALUES; PV MODULES; RESEARCH GROUPS; SI-CRYSTALLINE; STANDARD TESTS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; IRRADIANCE; PERFORMANCE ASSESSMENT; PHOTOVOLTAIC SYSTEM; SILICON;

EID: 56049088497     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2008.06.010     Document Type: Review

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