Frank Hellmann

Research investigates how network structure relates to stability using advanced methods.

Analyzing renewable energy impacts on power grid stability using machine learning techniques.

DBGNNs improve information flow and prediction capabilities in machine learning.

A new method to model inverter dynamics for stable renewable energy integration.

A look into adaptive networks and their role in system stability.

Learn about small-signal stability and its importance in modern power grids.

Innovative methods streamline complex power grid dynamics for better energy management.