@article {290,
	title = {Is the average photon energy a unique characteristic of the spectral distribution of global irradiance?},
	journal = {Solar Energy},
	volume = {149},
	year = {2017},
	note = {ENE2008-05098-ALT},
	pages = {32{\textendash}43},
	abstract = {The average photon energy (APE) has become a popular index to qualitatively assess whether shorter or longer wavelengths are enhanced in a specific spectral distribution of irradiance when compared to the AM1.5G standard spectrum. According to some previous assessments, this index might uniquely distinguish individual global tilted irradiance and global horizontal irradiance spectra. This paper basically applies the same methodology as that used in these studies, i.e., a statistical analysis based on spectral distributions grouped in 0.02-eV APE bins and their standard deviation across all 50-nm bands into which the wavelength range under scrutiny (350 to 1050 nm) is divided. Two years of spectral global tilted irradiance datasets collected at two Spanish locations, 333 km apart, are analyzed here.},
	doi = {10.1016/j.solener.2017.03.086},
	author = {Nofuentes, G and Gueymard, CA and J. Aguilera and M.D. P{\'e}rez-Godoy and Francisco Charte}
}
@conference {603,
	title = {Analysing Concentrating Photovoltaics Technology through the use of Emerging Pattern Mining},
	booktitle = {Proceedings of the 11th International Conference on Soft Computing Models in Industrial and Environmental Applications},
	year = {2016},
	note = {ENE2009-08302, P09-TEP-5045, TIN2015-68454-R},
	author = {A.M. Garc{\'\i}a-Vico and J. Montes and J. Aguilera and C. J. Carmona and M. J. del Jesus}
}
@conference {600,
	title = {Estimating the Maximum Power Delivered by Concentrating Photovoltaics Technology Through Atmospheric Conditions Using a Differential Evolution Approach},
	booktitle = {Proceedings of the Eleventh International Conference on Hybrid Artificial Intelligence Systems (HAIS)},
	year = {2016},
	note = {ENE2009-08302, P09-TEP-5045, TIN2015-68454-R},
	month = {April},
	pages = {273-282},
	publisher = {Springer},
	organization = {Springer},
	address = {Sevilla (Spain)},
	author = {C. J. Carmona and F. Pulgar-Rubio and A.J. Rivera-Rivas and M. J. del Jesus and J. Aguilera}
}
@article {Gcrda15,
	title = {A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions},
	journal = {Expert Systems with Applications},
	volume = {42},
	number = {13},
	year = {2015},
	note = {ENE2009-08302, P09-TEP-5045, TIN2012-33856},
	pages = {5452{\textendash}5462},
	doi = {10.1016/j.eswa.2015.02.032},
	author = {B. Garc{\'\i}a-Domingo and C. J. Carmona and A.J. Rivera-Rivas and M. J. del Jesus and J. Aguilera}
}
@conference {10.1007/978-3-642-32922-7_45,
	title = {A Performance Study of Concentrating Photovoltaic Modules Using Neural Networks: An Application with CO2RBFN},
	booktitle = {Soft Computing Models in Industrial and Environmental Applications},
	year = {2013},
	pages = {439{\textendash}448},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	address = {Berlin, Heidelberg},
	abstract = {Concentrating Photovoltaic (CPV) technology attempts to optimize the efficiency of solar energy production systems and models for determining the exact module performance are needed. In this paper, a CPV module is studied by means of atmospheric conditions obtained using an automatic test and measuring system. CO2RBFN, a cooperative-competitive algorithm for the design of radial basis neural networks, is adapted and applied to these data obtaining a model with a good level of accuracy on test data, improving the results obtained by other methods considered in the experimental comparison. These initial results are promising and the obtained model could be used to work out the maximum power at the CPV reporting conditions and to analyze the performance of the module under any conditions and at any moment.},
	isbn = {978-3-642-32922-7},
	author = {A.J. Rivera-Rivas and B. Garc{\'\i}a-Domingo and M. J. del Jesus and J. Aguilera},
	editor = {Sn{\'a}{\v s}el, V{\'a}clav and Abraham, Ajith and Corchado, Emilio S.}
}
@conference {Cggda13b,
	title = {An evolutionary fuzzy system for the detection of exceptions in subgroup discovery},
	booktitle = {International Fuzzy Systems Applications World Congress (IFSA)},
	year = {2013},
	note = {TIN2012-33856,ENE2009-08302,TIC-3928,TEP-5045M},
	month = {July},
	pages = {74-79},
	address = {Edmonton (Canada)},
	author = {C. J. Carmona and P. Gonz{\'a}lez and B. Garc{\'\i}a-Domingo and M. J. del Jesus and J. Aguilera}
}
@article {article,
	title = {Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks},
	journal = {Expert Systems with Applications},
	volume = {40},
	number = {05},
	year = {2013},
	month = {04},
	pages = {1599{\textendash}1608},
	issn = {0957-4174},
	doi = {10.1016/j.eswa.2012.09.016},
	author = {Rivera Rivas, Antonio and B. Garc{\'\i}a-Domingo and M. J. del Jesus and J. Aguilera}
}
@article {Cggda13,
	title = {MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology},
	journal = {Knowledge-Based Systems},
	volume = {54},
	year = {2013},
	note = {IEE-07-762,TIN2012-33856,ENE2009-08302,TIC-3928,TEP-5045M},
	pages = {73-85},
	doi = {10.1016/j.knosys.2013.08.001},
	author = {C. J. Carmona and P. Gonz{\'a}lez and B. Garc{\'\i}a-Domingo and M. J. del Jesus and J. Aguilera}
}
@conference {simidat8,
	title = {Extracci{\'o}n Evolutiva de Reglas de Asociaci{\'o}n en un Servicio de Urgencias Psiqui{\'a}tricas},
	booktitle = {II Congreso espa{\~n}ol sobre Metaheur{\'\i}sticas, Algoritmos evolutivos y bioinspirados(MAEB)},
	year = {2003},
	pages = {548-555},
	address = {Gij{\'o}n(Spain)},
	author = {J. Aguilera and M. J. del Jesus and P. Gonz{\'a}lez and F. Herrera and M. Nav{\'\i}o and J. S{\'a}inz}
}
