Timothy Verstraeten

Timothy Verstraeten is a postdoctoral researcher at the Vrije Universiteit Brussel, affiliated with the Engineering Technology Acoustics & Vibrations Research Group. His work bridges Wind Energy and Machine Learning, focusing on optimization, condition monitoring, and control systems for wind farms.

• Role: Researcher in acoustics, vibrations, and intelligent monitoring
• Key Projects: IOF Gear (2018–2023), Robust Fleet-Dedicated Reinforcement Learning (2017–2020)

Research Interests include:

• Wind turbine operations (power prediction, balancing schemes)
• Reinforcement learning for hybrid energy systems and fleet control
• Condition monitoring using Gaussian processes and anomaly detection
• Deep learning for predictive maintenance and wake loss modeling

Scientific Contributions show a focus on Wind turbines (100% Scopus), Farms (58%), and Reinforcement learning (37%), with recent publications on uncertainty quantification and hybrid energy systems.

• Award: ICTAI Best Student Paper (2018)

He has supervised research proposals and presented at conferences like ACM E-Energy and Wind Energy Science, emphasizing control systems, power optimization, and structural health monitoring.