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Eduardo F. Fernández
Eduardo F. Fernández
Head Researcher
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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
2412014
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
1272014
Modelling photovoltaic soiling losses through optical characterization
GP Smestad, TA Germer, H Alrashidi, EF Fernández, S Dey, H Brahma, ...
Scientific reports 10 (1), 58, 2020
1092020
Performance, limits and economic perspectives for passive cooling of High Concentrator Photovoltaics
L Micheli, EF Fernández, F Almonacid, TK Mallick, GP Smestad
Solar Energy Materials and Solar Cells 153, 164-178, 2016
1062016
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
1062015
High concentrator photovoltaics: fundamentals, engineering and power plants
P Pérez-Higueras, EF Fernández
Springer, 2015
1052015
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
1012014
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
1002013
Performance and economic limits of passively cooled hybrid thermoelectric generator-concentrator photovoltaic modules
PM Rodrigo, A Valera, EF Fernández, FM Almonacid
Applied energy 238, 1150-1162, 2019
962019
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
952017
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
932013
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
882012
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
812013
Economics of seasonal photovoltaic soiling and cleaning optimization scenarios
L Micheli, EF Fernandez, JT Aguilera, F Almonacid
Energy 215, 119018, 2021
802021
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
762014
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
752016
A> 3000 suns high concentrator photovoltaic design based on multiple Fresnel lens primaries focusing to one central solar cell
K Shanks, JP Ferrer-Rodriguez, EF Fernández, F Almonacid, ...
Solar Energy 169, 457-467, 2018
742018
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
742015
Quantification of the spectral coupling of atmosphere and photovoltaic system performance: Indexes, methods and impact on energy harvesting
PM Rodrigo, EF Fernández, FM Almonacid, PJ Pérez-Higueras
Solar Energy Materials and Solar Cells 163, 73-90, 2017
722017
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
712013
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