FLORENCIA MARINA
ALMONACID CRUZ
CATEDRATICO DE UNIVERSIDAD
Publicaciones en las que colabora con FLORENCIA MARINA ALMONACID CRUZ (13)
2022
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The economic value of photovoltaic performance loss mitigation in electricity spot markets
Renewable Energy, Vol. 199, pp. 486-497
2019
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Correlating photovoltaic soiling losses to waveband and single-value transmittance measurements
Energy, Vol. 180, pp. 376-386
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Impact of soiling on the outdoor performance of CPV modules in Spain
AIP Conference Proceedings
2018
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Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies
Solar Energy, Vol. 160, pp. 275-288
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Spectral Corrections Based on Air Mass, Aerosol Optical Depth, and Precipitable Water for PV Performance Modeling
IEEE Journal of Photovoltaics, Vol. 8, Núm. 2, pp. 552-558
2017
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Analytical transfer equations for the spectral modelling of III-V multi-junction concentrator solar cells
2017 Spanish Conference on Electron Devices, CDE 2017
2016
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Comparative study of methods for the extraction of concentrator photovoltaic module parameters
Solar Energy, Vol. 137, pp. 413-423
2015
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Efficiencies and energy balance in high-concentrator photovoltaic devices
Green Energy and Technology (Springer Verlag), pp. 239-260
2012
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Pilot scheme of a tutorial action plan for industrial engineering students
Proceedings - 2012 Technologies Applied to Electronics Teaching, TAEE 2012
2010
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Photovoltaic systems installed at the University of Jaen
Recent Advances in Urban Planning, Cultural Sustainability and Green Dev. - Int. Conf. on Urban Sustainability, Cultural Sustainability, Green Dev. Green Structures and Clean Cars, USCUDAR 2010
2009
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Characterisation of Si-crystalline PV modules by artificial neural networks
Renewable Energy, Vol. 34, Núm. 4, pp. 941-949
2006
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A new method based on charge parameters to analyse the performance of stand-alone photovoltaic systems
Solar Energy Materials and Solar Cells, Vol. 90, Núm. 12, pp. 1750-1763
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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