Learning the coupling function in a complex network using an artificial neural network, NetworkDynamics.jl and DiffEqFlux.jl
Department
Working Group
Contact
Potsdam Institute for Climate Impact Research (PIK)
T +49 (0)331 288
2052
Frank.Hellmann[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam
14412 Potsdam
ORCID
I research the dynamics of energy and electricity systems from a complex systems perspective. The main focus is on using probabilistic methods to understand and control high dimensional networked dynamical systems.
- CoCo-Hype: "Consistent modeling, design and analysis of multi-layered hybrid power systems with distributed control" - Part of the DFG Priority Programme 1984 "Hybrid and Multimodal Energy Systems"
- CoNDyNet 2 - Emergent non-linear dynamics of power grids
- DFG-NSFC - Generalized Synchronization for Renewable Powergrids
- Elena - Software for Powergrid dynamics. Leibniz Transfer project
- open_plan - Designing cellular grids.
- CoNDyNet: Collective Nonlinear Dynamics on Networks - BmBF project (finished)
- Model order reduction for power plant models: Climate KIC project (finished)
Before joining PIK to work on renewable energies I worked in Loop Quantum Gravity. I did my PhD at the University of Nottingham and a Postdoc at the Albert Einstein Institute (MPI for Gravitational Physics) in Golm. A science slam where I presented this research can be found here.