Martin Franke

Elektroingenieur at Fraunhofer IEE

Kassel, Hesse, Germany
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Summary

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Martin Franke is an electrical engineer with five years' experience specializing in dynamic modeling of power systems, working with both inverter-based and synchronous-machine resources in large-scale simulations. Currently at Fraunhofer IEE, he combines power-system dynamics expertise with automation and tool development in Python and Julia, and applies Modelica and PowerFactory for robust model design. His background spans academic research and industry roles—from TU Dresden institutes to SMA Solar—giving him a pragmatic approach to bridging simulation research and deployable engineering. Motivated by open source, climate justice, and repair/reuse principles, he favors clean code and collaborative knowledge sharing. A less obvious strength is his cross-disciplinary fluency between data-science practices and power-system engineering, enabling reproducible, automated workflows for complex system studies.
code5 years of coding experience
bookDiplom-Ingenieurin (Dipl.Ing.), Regenerative Energiesysteme, Diplom-Ingenieurin (Dipl.Ing.), Regenerative Energiesysteme at Technische Universität Dresden
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Github Skills (18)

prediction-model10
python9
reinforcement-learning-environments9
optimisation9
optimization9
sequential9
short-circuit9
testbed8
power-systems7
system7
reinforcement-learning7
decision-making7
pandas7
baseline6
machine-learning5

Programming languages (1)

Python

Github contributions (5)

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fmarten99/Grid2Op_Saveload

Dec 2022 - Dec 2022

Grid2Op a testbed platform to model sequential decision making in power systems.
Contributions:5 pushes, 1 branch in 1 day
decision-makingcrossworddecisionmachine-learningtestbed
fmarten99/l2rpn-baselines

Dec 2022 - Dec 2022

L2RPN Baselines a repository to host baselines for l2rpn competitions.
Contributions:6 pushes, 1 branch in 1 day
baselineshost
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Martin Franke - Elektroingenieur at Fraunhofer IEE