A new method for estimating angular, spectral and low irradiance losses in photovoltaic systems using an artificial neural network model in combination with the Osterwald model

Solar Energy Materials and Solar Cells

Volumn 96, Issue 1, 2012, Pages 186-194

  Rodrigo, P ^a   Rus, C ^a   Almonacid, F ^a   Perez Higueras P J ^a   Almonacid, G ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

Artificial neural network; Energy losses; Grid connected photovoltaic system

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CELL TEMPERATURE; ENERGY LOSS; GLOBAL IRRADIANCE; GRID-CONNECTED PHOTOVOLTAIC SYSTEM; PHOTOVOLTAIC SYSTEMS; REAL SYSTEMS; SINGLE STRUCTURE; SOUTHERN SPAIN;

ELECTRON ENERGY LOSS SPECTROSCOPY; ENERGY DISSIPATION; PHOTOVOLTAIC EFFECTS;

NEURAL NETWORKS;

EID: 80855139516     PISSN: 09270248     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solmat.2011.09.054     Document Type: Article

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