Publicaciones en las que colabora con LEOCADIO HONTORIA GARCÍA (12)

2014

  1. A methodology based on dynamic artificial neural network for short-term forecasting of the power output of a PV generator

    Energy Conversion and Management, Vol. 85, pp. 389-398

  2. Virtual laboratory for the training and learning of the subject solar resource: OrientSol 2.0

    Proceedings of XI Tecnologias Aplicadas a la Ensenanza de la Electronica (Technologies Applied to Electronics Teaching), TAEE 2014

2013

  1. Generation of ambient temperature hourly time series for some Spanish locations by artificial neural networks

    Renewable Energy, Vol. 51, pp. 285-291

2012

  1. A simplified method for estimating direct normal solar irradiation from global horizontal irradiation useful for CPV applications

    Renewable and Sustainable Energy Reviews, Vol. 16, Núm. 8, pp. 5529-5534

  2. Artificial neural networks for the generation of direct normal solar annual irradiance synthetic series

    AIP Conference Proceedings

  3. Calculation of direct normal irradiation from global horizontal irradiation

    AIP Conference Proceedings

2011

  1. Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks

    Energy, Vol. 36, Núm. 1, pp. 375-384

  2. Two new applications of artificial neural networks: Estimation of instantaneous performance ratio and of the energy produced by PV generators

    Studies in Fuzziness and Soft Computing, Vol. 269, pp. 199-232

2010

  1. Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods

    Renewable Energy, Vol. 35, Núm. 5, pp. 973-980

2009

  1. Characterisation of Si-crystalline PV modules by artificial neural networks

    Renewable Energy, Vol. 34, Núm. 4, pp. 941-949

  2. Estimation of the energy of a PV generator using artificial neural network

    Renewable Energy, Vol. 34, Núm. 12, pp. 2743-2750

2006

  1. Artificial neural networks applied in PV systems and solar radiation

    Artificial Intelligence in Energy and Renewable Energy Systems (Nova Science Publishers, Inc.), pp. 163-200