Version History
Transparent model evolution for reproducible energy analysis
Every VerveStacks model release will be versioned, documented, and never overwritten—ensuring your analysis will remain reproducible and citable years later.
Why Versioning Matters
Energy system models inform decisions worth billions of dollars and decades of infrastructure planning. When you reference a VerveStacks model in your analysis, you will need confidence that:
Your results are reproducible: The exact model version you used will remain available
Changes are transparent: You will understand what evolved between versions
Sources are traceable: Every parameter will connect to documented data sources
Quality is assured: Updates will undergo systematic review before release
Three-Layer Transparency
VerveStacks will maintain transparency at three levels, each serving different user needs:
Model Documentation
For energy analysts and researchers
Each model folder will include a VERSION_LOG.md that explains changes in user-friendly terms:
Data Updates: New datasets, improved coverage, source refreshes
Model Features: Enhanced capabilities, new regional coverage
Methodology Changes: Improved algorithms, updated assumptions
Known Limitations: Transparent reporting of current constraints
This documentation will travel with your model, ensuring you always know what version you’re using.
Public Development
For the energy modeling community
All model development will occur in public repositories with complete change history. This will enable:
Peer Review: Community validation of methodological improvements
Collaborative Enhancement: Contributions from global energy modeling experts
Academic Citation: Specific model versions can be referenced in research
Quality Assurance: Transparent development builds trust and accountability
Version Comparison
For institutional users
The VerveStacks website will maintain comprehensive version comparisons showing:
Feature Evolution: What capabilities are available across versions
Data Source Timeline: When and how underlying datasets were updated
Regional Coverage: Geographic expansion and enhancement history
Validation Studies: Real-world applications and accuracy assessments
Version Format
Models will follow semantic versioning: MAJOR.MINOR.PATCH
- MAJOR versions (e.g., 1.0 → 2.0)
Fundamental changes to methodology or data structure that may affect comparability with previous versions.
- MINOR versions (e.g., 2.1 → 2.2)
New features, data updates, or regional expansion that enhance capabilities while maintaining compatibility.
- PATCH versions (e.g., 2.1.1 → 2.1.2)
Bug fixes, minor corrections, or documentation improvements that don’t change model behavior.
Update Philosophy
- Quality over Speed
Updates will be released when they meaningfully improve model quality, not on arbitrary schedules.
- Transparency First
Every change will be documented with clear explanation of impact and rationale.
- User-Centered
Version documentation will focus on what users need to know, not technical implementation details.
- Community Driven
Updates will respond to user feedback, validation findings, and collaborative improvements.
What This Means for Your Work
- For Policy Analysis
Reference specific model versions in reports, knowing they remain available for verification and replication.
- For Academic Research
Cite exact model versions in publications, enabling other researchers to reproduce and build on your work.
- For Institutional Planning
Understand when to adopt new versions versus maintaining consistency across multi-year planning cycles.
- For Collaborative Projects
Ensure all team members use the same model version, with clear documentation of any differences.
Current Release Status
VerveStacks is in active development with regular model improvements. The versioning system will ensure that as the platform matures, all releases maintain the transparency and reproducibility standards essential for credible energy system analysis.
Note
Getting Version Information: Every model folder will include complete version documentation. When sharing results, always reference the specific model version used to ensure reproducibility.