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

• Pettas V, Göçmen T, Duc T, Vad A. On the effects of bat protection strategies on energy production and structural loads of wind farms 2026. [https://doi.org/10.5194/wes-2026-56]

• Vad A, Guilloré A, et al. Modeling wind farm response: a modular, integrated, and multi-stakeholder approach 2026. [https://doi.org/10.5194/wes-2026-45]

• Vad A, Shah AH, Aktan HD, Bottasso CL. Identifying harmful stress cycles in wind turbine operations. Journal of Physics Conference Series 2026; 3224(7): 72015 [https://doi.org/10.1088/1742-6596/3224/7/072015]

• Vad A, Shah AH, Guilloré A, Dröse M, Bottasso CL. Turbine-specific lifetime consumption estimation by integrating environmental data with a farm flow model. Journal of Physics Conference Series 2026; 3224(3): 32064 [https://doi.org/10.1088/1742-6596/3224/3/032064]

• Guilloré A, Chaudhary A, Anand A, et al. Efficient generation of location-agnostic wind turbine load surrogate models using wake slices. Journal of Physics Conference Series 2026; 3224(3): 32106 [https://doi.org/10.1088/1742-6596/3224/3/032106]

• Vukobrat A, Vad A, Anand A, Bottasso CL. A holistic framework for site-specific wind power forecasting. Journal of Physics Conference Series 2026; 3224(2): 22017 [https://doi.org/10.1088/1742-6596/3224/2/022017]

• Kainz S, Zhu Z, Guilloré A, Vad A, Bottasso CL. Balancing energy yield and turbine fatigue: a load-aware approach to wind farm layout optimization. Journal of Physics Conference Series 2026; 3224(3): 32041 [https://doi.org/10.1088/1742-6596/3224/3/032041]

• Shah AH, Vad A, Guilloré A, Bottasso CL. Towards a load surrogate model for low-frequency fatigue cycles in wind turbines. Journal of Physics Conference Series 2026; 3224(6): 62064 [https://doi.org/10.1088/1742-6596/3224/6/062064]

• Braunbehrens R, Vad A, Langner J, Bottasso CL. The wind farm as a sensor in highly complex terrain. Journal of Physics Conference Series 2025; 3016(1): 12004 [https://doi.org/10.1088/1742-6596/3016/1/012004]

• 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.