Dávid Dobák
PhD Student
Joined September 1, 2026
Dávid's main research area is the engineering applications of machine learning algorithms, with particular focus on photovoltaic power forecasting. His research also examines the efficient integration of renewable energy sources into the electricity grid and the data-driven methods related to it.
Research interests
- Photovoltaic power forecasting
- Machine learning
Recognitions
- Zenit-Kecskemét Youth Award (2024)
- Palatine Joseph Award (2024)
Grants & scholarships
- Doctoral Excellence Scholarship Programme (2026)
- National Higher Education Scholarship (2021, 2022, 2023)
Publications by Dávid Dobák
Live from MTMT
Robert, Mikuska, Balazs, Szilard, Dávid Dobák, Tamas, Szemes Peter
Internet Based Control of a Servo Motor with a Sliding Mode Based Observer for Chattering ReductionChapter in Book · 2022