Physics-informed geometric deep learning for inference tasks in power systems
Steven de Jongh, Frederik Gielnik, Felicitas Mueller, Loris Schmit, Michael Suriyah, Thomas Leibfried
Topics & Concepts
InferencePower (physics)PhysicsArtificial intelligenceDeep learningTheoretical physicsStatistical physicsComputer scienceCognitive sciencePsychologyQuantum mechanicsModel Reduction and Neural NetworksComputational Physics and Python ApplicationsNeural Networks and Applications