34 citations · 37 across the 3 of their papers we have counts for
4 papers
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…
Open data base analysis of scaling and spatio-temporal properties of power grid frequencies
Leonardo Rydin Gorjão, Richard Jumar, Heiko Maass +7
The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctua…
Predictability of Power Grid Frequency
Johannes Kruse, Benjamin Schäfer, Dirk Witthaut
The power grid frequency is the central observable in power system control, as it measures the balance of electrical supply and demand. A reliable frequency forecast can facilitate…