February 2026 Performance Summary (open-energy-transition/pypsa-eur and PyPSA projects) Key features delivered and technical enhancements: - Powerplantmatching upgrades to 0.8.0 and 0.8.1, including archive and config synchronization, and improved retrieval; archive usage for worldbank commodity prices stabilized data flow. - GEM cement plant tracker integration: updated GEM steel usage and integrated cement plant tracking for improved asset coverage. - Data sourcing enhancements for country-level electricity demand: refreshed data sources, extended interpolation, and improved data cleaning. - Eurostat energy balances: updated processing via API for faster, more reliable data integration. - Swiss energy balances: updated processing from SFOE source to improve regional consistency. - JRC IDEES 2023: extended year range in build_energy_totals and default alignment with energy balance year updates. - Fossil fuel and CO2 price series: updated time series (including fix from co2_monthly_prices to dynamic) and related unit/marginal cost adjustments. - Power-plant region mapping corrections and ppm handling for wind/solar; offshore wind potentials Germany fix. - Release readiness and packaging improvements: prepared release v2026.02.0, added technology-data v0.14.0 and energy-data v0.14.0, and updated documentation; WDPA/LUISA download toggles implemented. - Various quality improvements: fix missing/outdated configuration options, CO2 stop id compatibility, and rolling horizon enhancements. Overall impact: - Strengthened end-to-end data pipelines across multiple sources (Eurostat, SFOE, JRC) with improved data quality and reproducibility. - Accelerated release cadence and ensured governance through dedicated release prep, documentation updates, and data packaging updates. - Expanded modeling capabilities and flexibility, enabling more robust energy-system analyses for 2026 planning and decision-making. Technologies and skills demonstrated: - Python data pipelines, API integration, archive-based data provisioning, and data cleaning. - Version control discipline with co-authored commits and collaboration practices. - Quality assurance through pre-commit hooks and automated checks; documentation and data inventory updates. - Release engineering, packaging, and interoperability between PyPSA-EUR and PyPSA projects.

Month: 2026-01. This period focused on stability, maintainability, and early-stage data ingestion work across PyPSA projects. Key items include a critical fix to discount handling, exploration of Eurostat data ingestion via API (later reverted for stability), and targeted cleanup of obsolete data-rescaling logic. These activities improve model correctness, data pipeline reliability, and set foundations for future enhancements.

December 2025: Documentation and funding acknowledgement improvements across PyPSA/PyPSA and pypsa-eur. No major bug fixes reported this month. Focused on ensuring clear usage guidance, branding consistency, and proper attribution to funding sources, delivering value through cleaner docs and accurate credits.

November 2025 performance summary focusing on deliverables and data workflow resilience across PyPSA/PyPSA and pypsa-eur. Key outcomes include user-facing documentation for the PyPSA-ASEAN model, hardened data retrieval for WDPA in pypsa-eur, and expanded data management in Sync-Send with PIXI configs and a data folder. These changes enhance onboarding, reliability, and end-to-end data pipelines.

October 2025 — PyPSA/PyPSA focused on multi-period optimization accuracy, feature experimentation, and user documentation. Key outcomes include the initial addition of minimum cycle basis support for power flow networks (commit 1893db7da8e9c055ea40546f9da25e56c3062b00) and release-cycle refinement via a subsequent revert (commit 6f70f53f44bc27108219856e5a197b9ad1f46cae); a bug fix ensuring correct period weighting for storage constraints in multi-investment period optimizations (commit 45ee4e4fd04c2f22f2d62b4b0f0a89e04706374d); and documentation updates with TenneT as a user and improved examples (commits 8b164a2412db8d2793dd9d3820ef42b604f2b18b and 6fa671576ea138c2a70c3897e5a103195a78e745). These efforts improved modeling fidelity, release discipline, and user onboarding.

Monthly summary for 2025-09 focusing on business value and technical achievements for PyPSA/PyPSA. The core deliverables this month expanded modeling flexibility and constraint granularity while maintaining backward compatibility.

August 2025 monthly summary for PyPSA/pypsa-eur focused on delivering targeted fixes and documentation updates that improve data integration, reliability, and tooling alignment. Key items delivered include fixes for shapefile ID column naming to enable robust joins between geospatial and tabular data, and a documentation update to reflect Snakemake >=9. These changes enhance data pipeline stability, reduce join errors, and keep the project aligned with current tooling.

July 2025 monthly summary for PyPSA/pypsa-eur: Deliver release readiness for v2025.07.0 with versioning and configuration updates, refining defaults, feature flags, and solver parameters to reflect the latest model updates and improvements. This work enhances accuracy, flexibility, and reproducibility for energy system optimization, enabling stable deployment and reliable scenario analyses.

June 2025 monthly summary for PyPSA/PyPSA. Focused on improving cost transparency and accuracy of financial metrics. Delivered documentation clarification for standby_cost behavior and fixed OPEX weighting, contributing to more reliable cost reporting and preparing for the next release.

May 2025 monthly summary for PyPSA/pypsa-eur focused on cross-platform reliability improvements through Windows path handling fixes. Delivered a bug fix that removes reliance on a shadow/temporary directory and forces the solver directory to an empty string to avoid Windows path-related issues, strengthening Windows compatibility and CI stability.

April 2025: Delivered updates to PyPSA/pypsa-eur that raise modeling fidelity, enable multi-year optimization, and solidify release readiness. Replaced OPSD data with GEM-based resource estimation, added resource classes for renewable modeling, enabled multiple weather years in optimization (with time-aggregation and leap-day fixes), and completed release v2025.04.0 with configuration and docs updates.

March 2025 (2025-03) performance summary for PyPSA/pypsa-eur focusing on business value, reliability, and modularity. Delivered several key features, a critical bug fix, and data integration improvements that enhance planning accuracy, configurability, and operational resilience across energy systems modeling.

February 2025 monthly summary for PyPSA/pypsa-eur: delivered extended pre-built weather data cutouts to include additional years, improving data availability for long-horizon simulations. Updated dataset references and release notes to reflect the extended data, ensuring reproducibility and traceability. Commit-level changes implemented and ready for release.

In January 2025, PyPSA/pypsa-eur delivered significant data, configuration, and performance improvements that enhance model fidelity, deployment reliability, and decision support for energy planning. The work focused on updating core energy model datasets, tightening configuration management, integrating benchmarking directives, improving observability and release quality, and refining network processing with a key bug fix. These changes reduce risk, improve reproducibility, and enable faster, more accurate scenario analysis for stakeholders.