Research Interests

• Wind farm flow modelling
• Wind turbine simulation and design
• Remaining lifetime prediction
• Predictive maintenance

Curriculum Vitae

• 2015: B.Sc. at Technical University Munich, Germany. Focus: Energy
• 2019: M.Sc. at Technical University Munich, Germany. Focus: Energy and Turbomachinery.
• 2020: Postgraduate Studies of Informatics at Technical University Munich, Germany. Focus: Machine Learning.
• 2021- present: PhD Candidate at Chair of Wind Energy.

Publications

• Vad A., Bottasso, C. L. (2024). Reconstruction of environmental site conditions by the integration of SCADA and reanalysis data. In Journal of Physics: Conference Series (Vol. 2767, Issue 9, p. 092073). IOP Publishing. https://doi.org/10.1088/1742-6596/2767/9/092073

• Vad A, Tamaro S and Bottasso C L 2023. A non-symmetric Gaussian wake model for lateral wake-to-wake interactions. J. Phys.: Conf. Ser. 2505 12046. http://dx.doi.org/10.1088/1742-6596/2505/1/012046 

• Braunbehrens R, Vad A and Bottasso C L: The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data, Wind Energ. Sci., 8, 691–723, doi.org/10.5194/wes-8-691-2023, 2023.