301 citations · 3.5k across the 94 of their papers we have counts for
4 papers · 2 filters
Physics-inspired machine learning for power grid frequency modelling
Johannes Kruse, Eike Cramer, Benjamin Schäfer +1
The operation of power systems is affected by diverse technical, economic and social factors. Social behaviour determines load patterns, electricity markets regulate the generation…
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
Maurizio Titz, Franz Kaiser, Johannes Kruse +1
A reliable supply with electric power is vital for our society. Transmission line failures are among the biggest threats for power grid stability as they may lead to a splitting of…
Understanding Braess' Paradox in power grids
Benjamin Schäfer, Thiemo Pesch, Debsankha Manik +5
The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas. The process of grid extension r…
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
Sebastian Pütz, Benjamin Schäfer, Dirk Witthaut +1
The energy transition introduces more volatile energy sources into the power grids. In this context, power transfer between different synchronous areas through High Voltage Direct…