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Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
The transition to a sustainable energy supply challenges the operation of electric power systems in manifold ways.
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
In this article we propose a combination of network science metrics and machine learning models to predict the risk of desynchronisation events.
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