Eduardo F. Fernández
Eduardo F. Fernández
Centro de Estudios Avanzados en Energía y Medio Ambiente - Universidad de Jaen
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A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator
F Almonacid, PJ Pérez-Higueras, EF Fernández, L Hontoria
Energy Conversion and Management 85, 389-398, 2014
1162014
Analysis of the spectral variations on the performance of high concentrator photovoltaic modules operating under different real climate conditions
EF Fernández, F Almonacid, JA Ruiz-Arias, A Soria-Moya
Solar Energy Materials and Solar Cells 127, 179-187, 2014
1002014
Outdoor evaluation of concentrator photovoltaic systems modules from different manufacturers: first results and steps
EF Fernández, P Pérez‐Higueras, AJ Garcia Loureiro, PG Vidal
Progress in Photovoltaics: Research and Applications 21 (4), 693-701, 2013
902013
Calculation of the cell temperature of a high concentrator photovoltaic (HCPV) module: a study and comparison of different methods
EF Fernández, F Almonacid, P Rodrigo, P Pérez-Higueras
Solar Energy Materials and Solar Cells 121, 144-151, 2014
832014
Models for the electrical characterization of high concentration photovoltaic cells and modules: a review
P Rodrigo, EF Fernández, F Almonacid, PJ Pérez-Higueras
Renewable and Sustainable Energy Reviews 26, 752-760, 2013
802013
Relation between the cell temperature of a HCPV module and atmospheric parameters
F Almonacid, PJ Pérez-Higueras, EF Fernández, P Rodrigo
Solar Energy Materials and Solar Cells 105, 322-327, 2012
792012
Levelised cost of electricity in high concentrated photovoltaic grid connected systems: spatial analysis of Spain
DL Talavera, P Pérez-Higueras, JA Ruíz-Arias, EF Fernández
Applied Energy 151, 49-59, 2015
722015
A two subcell equivalent solar cell model for III–V triple junction solar cells under spectrum and temperature variations
EF Fernández, G Siefer, F Almonacid, AJG Loureiro, P Pérez-Higueras
Solar Energy 92, 221-229, 2013
692013
High Concentrator Photovoltaics: Fundamentals, Engineering and Power Plants
P Pérez-Higueras, EF Fernández
Springer, 2015
662015
Estimating the maximum power of a high concentrator photovoltaic (HCPV) module using an artificial neural network
F Almonacid, EF Fernández, P Rodrigo, PJ Pérez-Higueras, C Rus-Casas
Energy 53, 165-172, 2013
652013
Performance, limits and economic perspectives for passive cooling of High Concentrator Photovoltaics
L Micheli, EF Fernández, F Almonacid, TK Mallick, G Smestad
Solar Energy Materials and Solar Cells, 2016
612016
Optimal combination of gridded and ground-observed solar radiation data for regional solar resource assessment
JA Ruiz-Arias, S Quesada-Ruiz, EF Fernández, CA Gueymard
Solar Energy 112, 411-424, 2015
552015
Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization
P Rodrigo, EF Fernández, F Almonacid, PJ Pérez-Higueras
Renewable and Sustainable Energy Reviews 38, 478-488, 2014
522014
Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
F Almonacid, EF Fernandez, A Mellit, S Kalogirou
Renewable and Sustainable Energy Reviews 75, 938–953, 2017
492017
Comparative assessment of the spectral impact on the energy yield of high concentrator and conventional photovoltaic technology
EF Fernández, A Soria-Moya, F Almonacid, J Aguilera
Solar Energy Materials and Solar Cells 147, 185–197, 2016
492016
A simple accurate model for the calculation of shading power losses in photovoltaic generators
P Rodrigo, EF Fernández, F Almonacid, PJ Pérez-Higueras
Solar Energy 93, 322-333, 2013
492013
Effects of spectral coupling on perovskite solar cells under diverse climatic conditions
S Senthilarasu, EF Fernández, F Almonacid, TK Mallick
Solar Energy Materials and Solar Cells 133, 92-98, 2015
472015
Model for the prediction of the maximum power of a high concentrator photovoltaic module
EF Fernández, F Almonacid, P Rodrigo, P Pérez-Higueras
Solar Energy 97, 12-18, 2013
472013
A method for estimating cell temperature at the maximum power point of a HCPV module under actual operating conditions
EF Fernández, P Rodrigo, F Almonacid, P Pérez-Higueras
Solar Energy Materials and Solar Cells 124, 159-165, 2014
432014
A model based on artificial neuronal network for the prediction of the maximum power of a low concentration photovoltaic module for building integration
EF Fernández, F Almonacid, N Sarmah, P Rodrigo, TK Mallick, ...
Solar Energy 100, 148-158, 2014
432014
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