Andreas Vad

Technische Universität München
Boltzmannstr. 15
Room 2726
85748 Garching b. München
Tel.: +49 (0)89 289 16686

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.


  • 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.
  • 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. 

  • 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,, 2023.