Alexander Scheidler
Wissenschaftler at Fraunhofer IEE
Kassel, Hesse, Germany
Summary
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RockstarAlexander Scheidler is a scientist and software engineer with 10 years of experience specializing in power system modeling and data-driven backend development. Based at Fraunhofer IEE in Kassel, he contributes practical research-grade solutions that bridge academia and industry, focusing on reliability and edge-case robustness. His open-source work on the pandapower library includes Numba-accelerated routines, improved Excel/JSON import-export, and three-phase power flow features, demonstrating both performance optimization and usability improvements. Alexander combines hands-on coding with systems thinking, routinely tackling tricky issues like zero-impedance branch handling and disconnected network testing. Colleagues rely on him for turning complex electrical engineering models into maintainable, well-tested software components.
10 years of coding experience
Github Skills (12)
pandas10
numba10
power-analysis10
python10
power-systems10
data-structure9
data-structures9
testing8
optimization5
data-visualisation5
data-visualization5
data-visualizations5
Programming languages (3)
Github contributions (5)
e2nIEE/pandapower
Oct 2016 - Apr 2022
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1 review, 113 commits, 16 PRs in 5 years 6 months
Contributions summary:Alexander primarily contributed to the core functionality of the pandapower library, focused on power system modeling and analysis. Their work included adding features such as the implementation of a Numba-accelerated bus lookup, improvements to the Excel and JSON data import/export interfaces, and various bug fixes related to handling zero-impedance branches and other edge cases. The user also worked on implementing a test for the disconnected network parts and contributed to the three-phase power flow analysis.
pythonanalysisoptimizationsystem-modellingstate-estimation
ascheidl/pandapower
Jul 2019 - Aug 2023
Convenient Power System Modelling and Analysis based on PYPOWER and pandas
Contributions:1 PR, 17 pushes, 1 branch in 4 years 1 month
pythonsystem-modellinganalysispower-systempower
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