| 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 | 109 | 2014 |
| 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 | 95 | 2014 |
| 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 | 90 | 2013 |
| 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 | 81 | 2014 |
| 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 | 80 | 2013 |
| 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 | 79 | 2012 |
| 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 | 68 | 2013 |
| 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 | 65 | 2015 |
| High Concentrator Photovoltaics: Fundamentals, Engineering and Power Plants P Pérez-Higueras, EF Fernández Springer, 2015 | 64 | 2015 |
| 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 | 60 | 2013 |
| 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 | 53 | 2016 |
| 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 | 52 | 2015 |
| 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 | 50 | 2014 |
| 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 | 47 | 2017 |
| 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 | 46 | 2013 |
| 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 | 46 | 2013 |
| 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 | 45 | 2016 |
| 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 | 44 | 2015 |
| 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 | 42 | 2014 |
| 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 | 42 | 2014 |
F. AlmonacidUniversidad de JaénVerified email at ujaen.es
