Dr. Luis M. PomaresScientist | Measurement Science and Analytics
Luis’s major research interests focus on solar resources assessment, prediction and atmospheric sciences. He has particular interest also in applying artificial intelligence and data mining techniques to solve the complex problem of the chaotic nature of the processes involved in the weather and climate.
- Bachelor's degree, Information Technology. University of Almeria, Spain. 2001.
- Master of Engineering (M.Eng.), Information Technology, University of Almeria, Spain. 2004.
- PhD. Thesis Title: “Solar radiation prediction with statistical methods” Complutense University of Madrid, Madrid (Spain). 2012.
He has more than 11 years of experience in solar resources. In 2004 he begins his professional career working at Plataforma Solar de Almeria (PSA) developing the data acquisition system and the software for the BSRN station of the PSA. From 2005 until February, 2009 he did his Phd studies at CIEAMT, Spain’s National Laboratory for Energy Research.(www.ciemat.es) in solar energy forecasting. Afterwards, he joined IrSOLaV (www.irsolav.com) doing different tasks which cover all the phases needed by CSP and PV projects. At present he is working in QEERI. He is an expert in solar radiation estimation from satellite, creation of solar energy maps, analysis of ground measured data and solar energy forecasting. Luis Martín appears as co-author in several works presented to national and international congresses and scientific journals in the field of the solar energy. He has been awarded in 2011 for his paper ““Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning”” as the best scientific publication for Solar Energy journal by the International Solar Energy Society.
- Solar Energy Journal Best Paper Award (2011). Dr. Luis Martin of the Investigaciones y Recursos Solar Avanzados (IrSOLav) and Dr. Luis Zarzalejo of the Energy Department, CIEMAT, Madrid, Spain for their paper, “Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning” in Volume 84, Issue 10, October 2010, pages 1772 - 1781. http://www.ises-online.de/who-we-are/ises-awards/solar-energy-journal-be...
- L. Martín, L.F. Zarzalejo, J. Polo, A.A. Navarro, R. Marchante, Marco Cony. 2010. Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning. Solar Energy. http://dx.doi.org/10.1016/j.solener.2010.07.002
- Luis F. Zarzalejo, Jesús Polo, Luis Martín, Lourdes Ramírez, Bella Espinar. 2007. A new statistical approach for deriving global solar radiation from satellite images. Solar Energy. http://dx.doi.org/10.1016/j.solener.2008.07.009
- Bella Espinar, Lourdes Ramírez, Anja Drews, Hans Georg Beyer, Luis F. Zarzalejo, Jesús Polo, Luis Martín. 2009. Analysis of different comparison parameters applied to solar radiation data from satellite and German radiometric stations. Solar Energy. http://dx.doi.org/10.1016/j.solener.2008.09.006
- J. Polo, L. Martín, M. Cony. 2012. Revision of ground albedo estimation in Heliosat scheme for deriving solar radiation from SEVIRI HRV channel of Meteosat satellite. Solar Energy. http://dx.doi.org/10.1016/j.solener.2011.09.030