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Maximilian.Hillen@dlr.de

PROFILE

Maximilian.hillen@dlr.de

Maximilian Hillen developed and enhanced multi-period optimization features for the oemof-solph repository, focusing on integrating the Time-Segmented Aggregation Model (TSAM) to improve long-term energy system modeling. He implemented robust time series aggregation, flexible investment modeling, and standardized financial calculations, using Python and object-oriented programming to ensure maintainable and scalable code. His work included refactoring data handling, aligning parameter naming, and expanding documentation with visual tutorials, which clarified TSAM’s impact on optimization workflows. By delivering new features, refining examples, and improving onboarding materials, Maximilian addressed both technical depth and usability, supporting reliable scenario analysis and user adoption.

Overall Statistics

Feature vs Bugs

90%Features

Repository Contributions

22Total
Bugs
1
Commits
22
Features
9
Lines of code
1,952
Activity Months5

Work History

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026 - oemof/oemof-solph: Delivered targeted enhancements to the Time Series Aggregation (TSAM) tutorial, including visual figures and a detailed step 3 explanation. These updates improve user onboarding, clarify implementation details, and illustrate the impact of TSAM on optimization models, enabling faster and more reliable adoption of TSAM workflows. No major bugs fixed this month for this repository.

January 2026

9 Commits • 3 Features

Jan 1, 2026

January 2026: Delivered three core enhancements in oemof-solph that improve modeling accuracy, performance, and maintainability, while standardizing multi-period investments for reliable decision support. Key outcomes include improved TSAM example with time series aggregation and plotting consistency, centralized investment max values in cost data with signature simplifications, and a multi-period investment feature with standardized annuity/interest handling (0.05) integrated into TSAM workflows. These changes reduce modeling friction, improve solver performance, and enable consistent investment evaluation across scenarios.

December 2025

3 Commits • 2 Features

Dec 1, 2025

December 2025 monthly summary for oemof/oemof-solph focusing on business value and technical achievements. Highlights feature delivery, major fixes (if any), impact, and demonstrated skills.

January 2025

5 Commits • 2 Features

Jan 1, 2025

January 2025 monthly summary for oemof-solph: Implemented multi-period TSAM support across EnergySystem and Model, enabling flexible time segmentation and integration with generic storage. Enhanced TSAM robustness with fixes for time increment handling and period indexing to prevent calculations issues in TSAM mode. Standardized nominal capacity naming by renaming the investment parameter across wind, PV, and storage components and aligned tests. These changes improve modeling fidelity, reduce ambiguity, and establish a solid foundation for broader multi-period scenario analyses.

November 2024

3 Commits • 1 Features

Nov 1, 2024

For November 2024, focused delivery on Time-Segmented Aggregation Model (TSAM) integration in the oemof-solph project, with enhancements to multi-period optimization and data handling that improve modeling fidelity and scalability for long-term planning.

Activity

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Quality Metrics

Correctness88.6%
Maintainability86.4%
Architecture87.8%
Performance81.8%
AI Usage22.8%

Skills & Technologies

Programming Languages

MarkdownPythonreStructuredText

Technical Skills

Backend DevelopmentData AnalysisEnergy System ModelingEnergy Systems ModelingIntegration TestingOptimizationPythonPython programmingSoftware DevelopmentSoftware RefactoringTestingTime Series Analysisdata aggregationdata analysisdata visualization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

oemof/oemof-solph

Nov 2024 Feb 2026
5 Months active

Languages Used

PythonMarkdownreStructuredText

Technical Skills

Data AnalysisEnergy System ModelingOptimizationPythonSoftware RefactoringTime Series Analysis