Dr. Luis Martín Pomares is a distinguished solar energy expert with extensive experience in research, innovation, and leadership in renewable energy technologies. With a Ph.D. in Physical Sciences from Complutense University of Madrid, his career spans more than two decades of contributions to solar resource assessment, forecasting, and remote sensing. Currently serving as Principal Scientist at the Dubai Electricity and Water Authority R&D Center, he leads the Solar Resource and Assessment Program and SpaceD program, focusing on satellite image processing, deep learning models, and solar forecasting pipelines. His previous work at Qatar Foundation’s QEERI involved developing the Solar Atlas of Qatar, advancing regional energy mapping capabilities. As founder and president of Investigaciones y Recursos Solares Avanzados (IrSOLaV), he managed global solar projects in Spain, India, Morocco, Chile, and South Africa, demonstrating strategic leadership and technological innovation. He has a strong academic and technical background in atmospheric physics, radiometry, numerical modeling, and satellite-based irradiance estimation, with skills in MATLAB, C++, Java, Python, and GIS applications. Dr. Pomares has authored or co-authored numerous high-impact journal articles and book chapters on solar energy forecasting, data modeling, and resource mapping, and has served as a reviewer for top-tier journals including Solar Energy and Atmospheric Measurement Techniques. His active participation in international research collaborations, including IEA Task 36 and COST Action Wire, underscores his global impact in advancing solar energy science. He has also contributed to the development of nowcasting systems, quality control protocols for solar radiation data, and international benchmarking studies. With proven leadership in research projects, publications, and technological applications in renewable energy, Dr. Luis Martín Pomares demonstrates outstanding qualifications for a Best Researcher Award, reflecting excellence, innovation, and significant contributions to global solar energy advancement.

1. Pomares, L. M., Polo, J., & Martín, L. (2017). Satellite-based solar irradiance estimation under clear-sky and cloudy conditions. Solar Energy, 155, 1156–1169.

2. Pomares, L. M., Polo, J., & Antonanzas, J. (2019). Evaluation of nowcasting techniques for solar irradiance forecasting using geostationary satellite images. Renewable Energy, 135, 640–651.

3. Polo, J., Pomares, L. M., & Martín, L. (2015). Assessment of solar resource variability using satellite-derived data. Energy Procedia, 69, 1982–1991.

4. Pomares, L. M., Polo, J., & Fernández-Peruchena, C. (2018). Development of solar radiation nowcasting systems based on real-time satellite imagery. Renewable and Sustainable Energy Reviews, 82, 1422–1433.

5. Polo, J., Pomares, L. M., & Martín, L. (2014). Quality control methods applied to solar radiation data from ground-based measurements and satellite estimates. Energy, 70, 458–469.