F. Almonacid
Title
Cited by
Cited by
Year
Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks
F Almonacid, C Rus, P Pérez-Higueras, L Hontoria
Energy 36 (1), 375-384, 2011
1212011
Characterisation of Si-crystalline PV modules by artificial neural networks
F Almonacid, C Rus, L Hontoria, M Fuentes, G Nofuentes
Renewable Energy 34 (4), 941-949, 2009
1202009
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
1112014
Estimation of the energy of a PV generator using artificial neural network
F Almonacid, C Rus, PJ Pérez, L Hontoria
Renewable Energy 34 (12), 2743-2750, 2009
1062009
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
962014
Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods
F Almonacid, C Rus, L Hontoria, FJ Munoz
Renewable Energy 35 (5), 973-980, 2010
912010
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
812014
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
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
682013
Classification of methods for annual energy harvesting calculations of photovoltaic generators
C Rus-Casas, JD Aguilar, P Rodrigo, F Almonacid, PJ Pérez-Higueras
Energy Conversion and Management 78, 527-536, 2014
662014
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
602013
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
542016
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
502014
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
472017
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
462016
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
462013
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
462013
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
452015
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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Articles 1–20