NetworkDynamics.jl -- Composing and simulating complex networks in Julia
arXiv:2012.12696 · doi:10.1063/5.0051387
Abstract
NetworkDynamics.jl is an easy-to-use and computationally efficient package for working with heterogeneous dynamical systems on complex networks, written in Julia, a high-level, high-performance, dynamic programming language. By combining state of the art solver algorithms from DifferentialEquations.jl with efficient data structures, NetworkDynamics.jl achieves top performance while supporting advanced features like events, algebraic constraints, time-delays, noise terms and automatic differentiation.
arXiv commentThis article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Chaos 31, 063133 (2021) and may be found at https://aip.scitation.org/doi/10.1063/5.0051387
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- Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural Networks
- PowerDynamics.jl -- An experimentally validated open-source package for the dynamical analysis of power grids
- Predicting Fault-Ride-Through Probability of Inverter-Dominated Power Grids using Machine Learning
- An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems