Angela Meyer

Dr. Angela Meyer is an Assistant Professor of Energy Meteorology and Artificial Intelligence at TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing since October 2023. She concurrently leads the Energy Weather & AI Lab at the Bern University of Applied Sciences (BFH), School of Engineering and Computer Science. She earned her PhD in atmospheric physics from ETH Zurich (2015) and a master’s degree in mathematics from the University of Cambridge (2009).

Research Focus:

• Intersection of data science, atmospheric science, and renewable energy applications.
• Machine learning for solar and wind energy forecasting.
• Federated learning for privacy-preserving wind turbine condition monitoring.
• Satellite-based solar radiation retrieval and bias correction.
• Probabilistic intraday and sub-seasonal forecasting.

Her research is supported by major grants from the Swiss National Science Foundation (SNSF) and Innosuisse, and she is a project partner in the Horizon Europe UrbanAIR initiative.

Scientific Contributions:

• Over 40 peer-reviewed publications since 2015 in journals such as Applied Energy, Solar Energy, Energy and AI, and Journal of Climate.
• Key publications include advances in deep generative models for solar forecasting, federated learning in renewable energy, and AI-based satellite retrieval of solar radiation.
• Active reviewer for Applied Energy, Energies, and program committee member for ECML PKDD and LOD conferences.

Research Team & Supervision:

Dr. Meyer currently supervises six PhD candidates and six postdoctoral researchers across her labs at TU Delft and BFH. Her group focuses on AI-driven solutions for renewable energy reliability and resilience.

Laboratories & Collaborations:

• Energy Weather & AI Lab – Bern University of Applied Sciences.
• GRS Lab – TU Delft, Department of Geoscience and Remote Sensing.
• Active collaborations with ETH Zurich, Siemens Smart Infrastructure, Hexagon AB, and NVIDIA.

For more information, visit her personal website or ResearchGate profile.