February 2026 monthly summary for cpmodel/FTT_StandAlone focused on repo hygiene and maintainability. Delivered cleanup by removing unused CSV files from the Steel Model that were already present in Masterfile, improving clarity and reducing duplication. PR merged from cpmodel/remove_unused_steel_inputs (PR #294); commit d411ea648702bf35c317dd2ef9f51754f5ecec1e.

January 2026 focused on stabilizing the data processing path in cpmodel/FTT_StandAlone. The month's primary contribution was a critical bug fix to correct MSSP assignment in the rldc data processing, ensuring MSSP maps to MSSR (not MLSR) and preventing downstream data inaccuracies. No new features were delivered this month; the emphasis was on reliability and correctness of the data pipeline. The fix reduces the risk of misprocessed MSSP data and improves overall data integrity in the FTT StandAlone workflow.

Concise monthly summary focusing on documentation, onboarding, and tooling improvements across two repositories. December 2025 delivered focused documentation enhancements, environment setup simplifications, and dev tooling cleanups that accelerate onboarding, improve reproducibility, and increase contributor efficiency. While no critical defects were surfaced, quality improvements across docs and setups were prioritized to reduce support load and accelerate downstream work.

September 2025 performance summary for cpmodel/FTT_StandAlone focused on reliability and maintainability improvements in the simulation workflow. Delivered targeted timing accuracy fix for start times across all runs and eliminated dead code, with clear commit traces and minimal behavioral changes.

August 2025 monthly summary for the cpmodel/FTT_StandAlone repository, highlighting delivered features, fixed issues, and overall impact aligned with business value.

July 2025 monthly summary for cpmodel/FTT_StandAlone: Delivered a performance-oriented feature improvement and documentation clarity enhancements. The work focused on optimizing financial cost calculations in the power sector analysis and aligning documentation with actual parameters to reduce downstream confusion. These changes improve execution speed, code maintainability, and API understanding for stakeholders.

May 2025 monthly summary: Delivered foundational enhancements to the FTT stand-alone workflow in cpmodel/FTT_StandAlone, introducing the FTT Hydrogen model and improving developer onboarding through updated README and installation/run instructions; completed targeted documentation improvements for FTT-Heat to ensure accuracy and clarity. These changes advance data availability, deployment ease, and overall model reliability, enabling faster iteration and informed decision-making for stakeholders.

Summary for 2025-03: Expanded dataset capabilities in cpmodel/FTT_StandAlone by adding Pakistan MCSC input (MCSC_PK.csv) to Inputs/S0/General, enabling Pakistan-specific simulations. Commit: 06b7db917ee5a1105591d50aa085955187c82c0e ('Add Pakistan MCSC file'). No major bugs fixed this month. Overall impact: broader business coverage, faster scenario analyses for Pakistan, and maintained alignment with the existing MCSC ingestion workflow. Technologies/skills demonstrated: data onboarding, file-path conventions, version-controlled feature delivery, and maintaining data integrity across country datasets.

February 2025 monthly summary for cpmodel/FTT_StandAlone highlighting licensing, documentation improvements, and code quality efforts. Key outcomes include MIT License adoption to enable broader collaboration and commercial use with distributable software/docs, and targeted fixes to ensure documentation accuracy and learning-rate references.

December 2024 (cpmodel/FTT_StandAlone): Delivered targeted documentation improvements for FTT-Heat and FTT-Power update manuals. Consolidated corrections and clarifications to enhance user guidance, consistency, and maintainability. Changes tracked in two commits across the two manuals, strengthening version control and traceability.

November 2024: Focused on stability and reliability of storage pricing calculations within the FTT StandAlone module. Fixed division-by-zero risk in storage price calculations (ftt_p_rldc.py) by adding safe-guards for zero denominators, ensuring robust operation in regions with limited wind/solar generation. Change landed in commit d0e93019956ce0bad599daf92b7e1a9808e15097 titled 'Update ftt_p_rldc.py'. Result: reduced runtime errors, more trustworthy pricing, and stronger foundation for downstream economic modeling and decision making.

June 2024 Monthly Summary for cpmodel/FTT_StandAlone: Delivered substantive FTT model enhancements and accuracy improvements, consolidated cost-curve logic, and updated MCFC alignment to reflect current BCET. Completed code cleanup to reduce duplication and stabilized data paths by reverting experimental changes. The work substantially improves energy model reliability for planning and decision-making, with clear documentation updates for maintainability.