Modeling of multi-junction solar cells for estimation of EQE under influence of charged particles using artificial neural networks

Renewable Energy

Volumn 44, Issue , 2012, Pages 7-16

  Patra, Jagdish C ^a,b   Maskell, Douglas L ^a,b  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Artificial neural networks; Charged particles; Estimation of EQE; External quantum efficiency; Multi junction solar cell

Indexed keywords

CORRELATION COEFFICIENT; EXPERIMENTAL DATA; EXTERNAL QUANTUM EFFICIENCY; INTERNAL OPERATIONS; MULTI JUNCTION SOLAR CELLS; SOLAR CELL DESIGN; SPACE SOLAR CELLS; TRIPLE-JUNCTIONS;

CHARGED PARTICLES; NEURAL NETWORKS; QUANTUM EFFICIENCY; SPACE APPLICATIONS;

ESTIMATION;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BIODEGRADATION; ERROR ANALYSIS; EXPERIMENTAL STUDY; FUEL CELL; NONLINEARITY; NUMERICAL MODEL; SOLAR POWER;

EID: 84858276008     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2011.11.044     Document Type: Article

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