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 (16)

system10
short-circuit10
python10
optimization10
pandas9
testbed8
sequential8
reinforcement-learning-environments8
power-systems7
baseline7
decision-making6
reinforcement-learning6
machine-learning4
pytorch1
agent1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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fmarten99/pandapower

Jul 2025 - Apr 2026

Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Contributions:3 pushes in 8 months
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
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