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20222026
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cs.LG2026

Graph Machine Learning: An Opportunity for Power Systems

Martin Sadric, Sebastian Pütz, Christian Nauck +4

Modern power systems face growing operational complexity driven by the integration of renewable energy sources, decentralization, and the need for real-time decision-making across…

eess.SY2026

A graph theoretic view on small signal stability of inverter-based power grids

Iva Bačić, Jakob Niehues, Philipp C. Böttcher +5

Dynamic grid stability is traditionally ensured with synchronous generators. Modern grids rely substantially more on inverter-based resources, which require grid-forming control to…

eess.SY2026

Transmission Topology Optimization using accelerated MapElites

Nico Westerbeck, Leonard Hilfrich, Dirk Witthaut

Transmission Topology Optimization has great potential to improve efficiency and flexibility of grid operations through non-costly switching actions, but previous approaches strugg…

physics.soc-ph2026

Cascading Failures and Critical Infrastructures in Future Renewable European Power Systems

Maurizio Titz, Franz Kaiser, Johannes Kruse +8

The world's power systems are undergoing a rapid transformation, shifting away from carbon-intensive power generation to renewable sources. As a result, electricity is being transp…

physics.soc-ph2026

Impact of Market Reforms on Deterministic Frequency Deviations in the European Power Grid

Philipp C. Böttcher, Carsten Hartmann, Andrea Benigni +2

Deterministic frequency deviations (DFDs) are systematic and predictable excursions of grid frequency that arise from synchronized generation ramps induced by electricity market sc…