PhD student Mario Arrieta-Prieto won 2nd place in the Best Poster competition at the Technical University of Denmark’s (DTU) 2019 energy summer school, “Data-Driven Analytics and Optimization for Energy Systems”. Presented for his research on “Short-term Forecasting of Wind Power Output’s Predictive Densities via DVINE Copulas”, the award recognizes outstanding modeling efforts in statistics and operations research developed for applications in power systems.
Mario has a strong background in both statistics and operations research. His latest contributions are related to spatio-temporal modeling with applications ranging from macroeconomic policy to freight transportation management. Under Prof. Kristen Schell’s guidance, he is now focused in the application of data-driven optimization to renewable energy sources.