| 1 |
A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator
Almonacid F, Perez-Higueras PJ, Fernandez EF, Hontoria L
Energy Conversion and Management, 85, 389, 2014 |
| 2 |
Generation of ambient temperature hourly time series for some Spanish locations by artificial neural networks
Almonacid F, Perez-Higueras P, Rodrigo P, Hontoria L
Renewable Energy, 51, 285, 2013 |
| 3 |
Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks
Almonacid F, Rus C, Perez-Higueras P, Hontoria L
Energy, 36(1), 375, 2011 |
| 4 |
Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods
Almonacid F, Rus C, Hontoria L, Munoz FJ
Renewable Energy, 35(5), 973, 2010 |
| 5 |
Characterisation of Si-crystalline PV modules by artificial neural networks
Almonacid F, Rus C, Hontoria L, Fuentes M, Nofuentes G
Renewable Energy, 34(4), 941, 2009 |
| 6 |
Estimation of the energy of a PV generator using artificial neural network
Almonacid F, Rus C, Perez PJ, Hontoria L
Renewable Energy, 34(12), 2743, 2009 |
| 7 |
A new approach for sizing stand alone photovoltaic systems based in neural networks
Hontoria L, Aguilera J, Zufiria P
Solar Energy, 78(2), 313, 2005 |
| 8 |
An application of the multilayer perceptron: Solar radiation maps in Spain
Hontoria L, Aguilera J, Zufiria P
Solar Energy, 79(5), 523, 2005 |
| 9 |
Generation of hourly irradiation synthetic series using the neural network multilayer perceptron
Hontoria L, Aguilera J, Zufiria P
Solar Energy, 72(5), 441, 2002 |
