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DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks

Christian Moya, Guang Lin

2022Neural Computing and Applications48 citationsDOI

Topics & Concepts

Artificial neural networkComputer scienceDeep learningNonlinear systemDifferential (mechanical device)Dynamical systems theoryAlgebraic numberDifferential algebraic equationApplied mathematicsArtificial intelligenceDifferential equationMathematicsOrdinary differential equationPhysicsMathematical analysisThermodynamicsQuantum mechanicsModel Reduction and Neural NetworksFluid Dynamics and Vibration AnalysisFluid Dynamics and Turbulent Flows
DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks | Litcius