CPV module electric characterisation by artificial neural networks

Renewable Energy

Volumn 78, Issue , 2015, Pages 173-181

  Garcia Domingo B ^a   Piliougine, M ^b   Elizondo, D ^c   Aguilera, J ^a  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF MÁLAGA   (Spain)

^c DE MONTFORT UNIVERSITY   (United Kingdom)

Author keywords

Concentrating photovoltaic; I V curve; Multilayer perceptron; Neural network; Self organising map

Indexed keywords

MULTILAYER NEURAL NETWORKS; MULTILAYERS; NEURAL NETWORKS; SELF ORGANIZING MAPS;

ATMOSPHERIC CONDITIONS; ATMOSPHERIC VARIABLES; CONCENTRATING PHOTOVOLTAIC; CONCENTRATING PHOTOVOLTAIC TECHNOLOGIES; I - V CURVE; I-V CHARACTERISTIC CURVE; METEOROLOGICAL CONDITION; REPRESENTATIVE SAMPLE;

CURVE FITTING;

ADVANCED TECHNOLOGY; ARTIFICIAL NEURAL NETWORK; DATA SET; EXPERIMENTAL STUDY; PHOTOVOLTAIC SYSTEM; SIMULATION; SPATIOTEMPORAL ANALYSIS;

ANDALUCIA; JAEN [ANDALUCIA]; SPAIN;

EID: 84921487342     PISSN: 09601481     EISSN: 18790682     Source Type: Journal    
DOI: 10.1016/j.renene.2014.12.050     Document Type: Article

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