e2nIEE/pandapower
Jan 2025 – Sep 2025
2 Months active
Languages Used
ShellYAMLPython
Technical Skills
CI/CDGitHub ActionsNumerical ComputationPower Systems AnalysisPython
V3
PROFILE
V3
During their work on the e2nIEE/pandapower repository, Vogt focused on enhancing both release automation and numerical robustness in power systems analysis. They improved the CI/CD pipeline using GitHub Actions and YAML, introducing safeguards that limited release uploads to PyPI and enabled pre-release testing, which streamlined the distribution process and reduced risk. Later, Vogt addressed numerical instability in transformer impedance calculations by implementing zero-sequence parameter handling in Python, ensuring accurate modeling even with sparse data. Their contributions demonstrated depth in both automation and numerical computation, resulting in more reliable releases and improved simulation accuracy for power system studies.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
11
Activity Months2
Your Network
18 people
Work History
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on transformer impedance calculation robustness in pandapower. Implemented zero-sequence handling to prevent division-by-zero and numerical instability by using positive-sequence parameters when zero-sequence parameters are effectively zero. This change improves the accuracy of transformer impedance modeling in power system analyses and enhances stability across networks with limited zero-sequence data. The work reduces the risk of erroneous results and supports more reliable power flow and short-circuit studies.
1 Commits
Sep 1, 2025September 2025 monthly summary focusing on transformer impedance calculation robustness in pandapower. Implemented zero-sequence handling to prevent division-by-zero and numerical instability by using positive-sequence parameters when zero-sequence parameters are effectively zero. This change improves the accuracy of transformer impedance modeling in power system analyses and enhances stability across networks with limited zero-sequence data. The work reduces the risk of erroneous results and supports more reliable power flow and short-circuit studies.
September 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 focused on strengthening release automation for pandapower by delivering a more reliable CI workflow and enabling robust pre-release testing. The changes improve release reliability, reduce unnecessary steps in the publish process, and provide better validation for non-final releases. There were no major bug fixes this month; the emphasis was on building repeatable, safe release automation to accelerate and de-risk subsequent releases.
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 focused on strengthening release automation for pandapower by delivering a more reliable CI workflow and enabling robust pre-release testing. The changes improve release reliability, reduce unnecessary steps in the publish process, and provide better validation for non-final releases. There were no major bug fixes this month; the emphasis was on building repeatable, safe release automation to accelerate and de-risk subsequent releases.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShellYAML
Technical Skills
CI/CDGitHub ActionsNumerical ComputationPower Systems AnalysisPython
Repositories Contributed To
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