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Nicolò Italiano is a PhD student at the Technical University of Denmark (DTU), specializing in data-driven design optimization and control of wind power plants. He is currently involved in research projects aimed at enhancing the efficiency and performance of wind energy systems. His contributions include a focus on utilizing clustering algorithms and SCADA data filtering for utility-scale wind farms. Through his work, Nicolò aims to develop methods that can help in extracting insights and generating reports from complex data, thereby aiding in improved decision-making processes in energy management.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.