High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature

Energy

Volumn 84, Issue , 2015, Pages 336-343

  Almonacid, F ^a   Fernandez E F ^a,b   Mallick, T K ^b   Perez Higueras P J ^a  

^a UNIVERSITY OF JAÉN   (Spain)

^b UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Atmospheric parameters; HCPV (high concentrator photovoltaic) modelling; I V curve; Neural networks; Outdoor characterization

Indexed keywords

COMPLEX NETWORKS; CONCENTRATION (PROCESS); MEAN SQUARE ERROR; NEURAL NETWORKS; NEURONS; PARAMETER ESTIMATION; PHOTOVOLTAIC CELLS; SOLAR POWER GENERATION;

ATMOSPHERIC PARAMETERS; CONCENTRATOR PHOTOVOLTAICS; DIRECT NORMAL IRRADIANCES; I - V CURVE; MULTI JUNCTION SOLAR CELLS; OUTDOOR MEASUREMENTS; PHOTOVOLTAIC TECHNOLOGY; RMSE (ROOT MEAN SQUARE ERROR);

SOLAR CELLS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC MODELING; ENERGY EFFICIENCY; IRRADIANCE; PHOTOVOLTAIC SYSTEM; SIMULATION; SOLAR POWER;

EID: 84928436738     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2015.02.105     Document Type: Article

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