October 2025 monthly summary for the NREL/ComStock project, focusing on documentation quality and repository maintenance. Delivered a clear, up-to-date documentation visual (occupancy figures) and performed targeted maintenance to reduce technical debt, resulting in a leaner codebase and improved developer onboarding. The work emphasizes business value through better user guidance and lower maintenance costs.

September 2025 performance summary for NREL/ComStock: Delivered a coordinated set of feature enhancements, data/configuration updates, and stability fixes that strengthen BI visualization, data packaging, and core processing for downstream analytics and CBECs comparisons. The work improves data quality, packaging reproducibility, and dashboard readiness, enabling faster, more reliable insights for energy systems modeling.

August 2025 (NREL/ComStock) monthly summary focusing on business value and technical achievements. The team delivered key feature updates, resolved critical data and visualization issues, refreshed documentation assets, and updated data bundles to support accurate reporting and decision making. Key features delivered and enhancements: - Updated compare_comstock_to_cbecs.py.template to reflect new data structures and usage, enabling accurate cross-dataset comparisons. - Commits: 676c2bb74b3d4846d5142b9d7e308c27f253a4a0; f400ddbb0e707afef5d6201da95cbd0f2a203bc1 - Comstock coverage visualization and data integration: added a new cbecs coverage chart, updated comstock.py, and refreshed Tableau workbook to improve insight delivery. - Commits: 46040a6c1d23b25e4645dd544406efafc24d33c6; 5feb210b7b422aa1d8eeddee0b7ea709cffecee9; 713344c8b0389bf27d7d223b0d0fb2dbc59ae491 - Documentation and graphics workbook updates to support transparency and reproducibility: updated Tableau workbook with documentation figures, added a dedicated documentation graphics Tableau workbook, and refreshed related documentation content. - Commits: 074cafcee94e6bc0337e97ed8e33f751886a3de7_chunk_1; 6d2fb8d159640fb5b6688c1e56e504d69109a5f8 Major bugs fixed: - Restored S3 utilities by uncommenting S3 functionality to restore S3-related workflows. - Commit: f8445ba228861a10ae0822cbc7488a6c0b4e67ab - Envelope figure reference names corrected to align with updated figure references. - Commit: 8c93bcf1aae2a64c2ada31d44914e7aa9644bc57 - AHU nighttime vent schedule fix to ensure correct scheduling for nocturnal ventilation. - Commit: 2b4ca5c7d9ffe0c0e0a15109c1ab0c38a66e10f0 Documentation and data maintenance: - Documentation: General updates across docs and figures; distribution definitions updated; and graphics/workbooks added for documentation visuals. - Commits: 63d2f9a927c1a882651bfdd6edaf0f7d61d376b0; 27eb542d5051d57f2e8db25ffb5e15841df8b5c9; 5dbf6a228bdbe115bd49bfaa6339bbb767c1c446; beb67c21d67c1f4a78ef070947a3777888fa7fc2 Overall impact and business value: - Improved data integrity and comparability across datasets, enabling faster and more reliable decision making for stakeholders. - Enhanced visualization and reporting capabilities through refreshed Tableau workbooks, enabling clearer communication of ComStock coverage and documentation graphics. - Up-to-date data bundles and definitions reduce downstream errors and ensure stakeholders base decisions on current definitions and datasets. - Strengthened documentation practices and visuals to support reproducibility and onboarding of new team members. Technologies and skills demonstrated: - Python scripting and data pipeline awareness (templates, cross-dataset logic, and data integration scripts). - Data modeling and structure adaptation for updated data sources. - Visualization tooling (Tableau) and workbook automation. - Documentation generation and LaTeX/tex file updates and graphics workbooks. - S3 operations and cloud-based workflows robustness.

July 2025 performance summary for NREL/ComStock and NREL/openstudio-standards. Focused on delivering data workflow capabilities, stabilizing dependencies, and aligning calculation logic to improve reliability and business value. Key outcomes across the two repos include data preparation enhancements, build stability improvements, and standardized credit calculations.

June 2025 performance highlights: Delivered substantive feature work and data quality improvements across two primary repos, enhancing energy modeling fidelity, data integrity, and dataset reliability. The work supports more accurate simulations, better decision support, and smoother downstream analytics.

May 2025: Strengthened modeling fidelity, data coverage, and governance across two repositories by aligning branches, tuning space-type parameters for energy modeling, and expanding data coverage for grocery and refrigeration scenarios in ComStock.

April 2025 highlights: Implemented cross-dataset integration between ComStock and CBECs with HVAC-enabled visualizations, improved data structures, and a cleaner, more scalable data pipeline. This work reduces time-to-insight for energy benchmarking by enabling robust data validation across datasets and richer, decision-ready charts for stakeholders.

During March 2025, delivered significant updates to the NREL/ComStock data sampling and analysis pipeline that strengthen data resources, improve energy-system modeling accuracy, and enhance documentation. The TSV sampling data was released as TSVs v28, with corresponding zip creation and updates to ensure up-to-date resources for sampling workflows. A new thermal_bridging parameter was added to tsv_sampling.py to enable explicit thermal bridging analysis in sampling configurations. HVAC system type analysis was expanded to incorporate CBECS 2012 and 2018 with weighted averages, added new size bins, and refreshed prevalence plots and documentation to reflect the updated methodology. Documentation and code quality improvements were also completed to ensure clarity and maintainability.

January 2025: Delivered two core features for energy forecasting and climate analytics. Implemented Energy Modeling Calibration and Validation Toolkit to calibrate sampling and validate results against real data (CBECS), including a new compare_comstock_to_cbecs.py and updates to tsv_sampling.py. Added Spatial data expansion with a Texas tract lookup dataset to support location-based climate analyses. This work enhances forecast accuracy, credibility of simulations, and supports data-driven policy and program decisions. Technologies/skills demonstrated include Python scripting for calibration/validation, data workflow enhancements, and publishing GIS-ready spatial datasets.

December 2024 — Monthly summary for NREL/ComStock: Delivered TSVS Sampling Dataset v26, added tsvs-v26.zip to sampling/tsvs, enabling updated data availability for sampling workflows. Through this work, improved data freshness and reproducibility for downstream analyses. Maintained clear commit history and prepared assets for modeling pipelines.