zum Inhalt springen

Eduardo Weide Luiz

Address Pohligstr. 3, 50969 Köln
Room 3.110
Phone +49 (0)221 470-2961
Fax +49 (0)221 470-5161
Mail eweideluSpamProtectionuni-koeln.de


Research Topics

  • Renewable Energies
  • Cloud variability
  • Remote Sensing
  • Machine Learning



HErZ: Hans Ertel Centre for Weather Research, German Weather Service (DWD) - Climate Monitoring and Diagnostics Group



2014 – 2018 PhD degree in Earth System Science: “Analysis of cloud cover variability using geostationary satellite data”, National Institute for Space Research, Brazil.

2012 - 2014 Master Degree in Meteorology: “Development of methodologies for cloud cover estimation”, National Institute for Space Research, Brazil.

2008 – 2011 Bachelor Degree in Meteorology, Federal University of Santa Maria, Brazil




Research Gate

Google Scholar



  • Weide Luiz, E. and Fiedler, S., 2022: Spatio-temporal observations of nocturnal low-level jets and impacts on wind power production, Wind Energy Science, https://doi.org/10.5194/wes-7-1575-2022.
  • Crisosto, C., Luiz, E.W., Seckmeyer, G.:Convolutional Neural Network for High-Resolution Cloud Motion Prediction from Hemispheric Sky Images. Energies 14, 753. https://doi.org/10.3390/en1403075, February 2021.
  • Mubarak, R., Luiz, E.W.,Seckmeyer, G.: Why PV Modules Should Preferably No Longer Be Oriented to the South in the Near Future. Energies, 12, 4528, doi: https://doi.org/10.3390/en12234528, November 2019.
  • Luiz E. W., Martins F. R., Gonçalves A. R., Pereira E. B.: Analysis of intra-day solar irradiance variability in different Brazilian climate zones, Solar Energy 67, pp. 210-219, doi: https://doi.org/10.1016/j.solener.2018.04.005, June 2018.
  • Luiz E. W., Martins F. R., Costa R. S., Pereira E. B.: Comparison of methodologies for cloud cover estimation in Brazil - A case study, Energy for Sustainable Development 43, pp. 15-22, doi: https://doi.org/10.1016/j.esd.2017.12.001, April 2018.
  • Ceconi M., Martins F. R., Schuch N. J. ; Pereira E. B. ; Dalla Favera A. C., Luiz, E. W. Numerical Modeling of Solar Irradiation as an Alternative Method in the Evaluation of Energy Potential. Revista Geográfica Acadêmica, v. 4, p. 29-40, 2010.