Marcos Mosteiro Romero contributed to the CityEnergyAnalyst repository by developing and refining features that enhance building energy modeling and simulation workflows. He improved solar energy calculations, implemented robust data handling for occupancy and ventilation metrics, and expanded reporting capabilities with full hourly DataFrame support. Using Python and Pandas, Marcos focused on code readability, maintainability, and precise error handling, ensuring reliable model outputs and streamlined onboarding. His work included backend development, bug fixes, and documentation improvements, addressing both technical debt and user experience. The depth of his contributions is reflected in the careful integration of numerical methods, geospatial analysis, and data management.
In September 2025, the CityEnergyAnalyst project delivered targeted data handling, API enhancements, and reporting improvements that strengthen data integrity, analytics capabilities, and user experience. Key features includeuations across the data lifecycle, with fixes that ensure geometry is preserved and error handling is precise, enabling more reliable model outputs and streamlined reporting.
In September 2025, the CityEnergyAnalyst project delivered targeted data handling, API enhancements, and reporting improvements that strengthen data integrity, analytics capabilities, and user experience. Key features includeuations across the data lifecycle, with fixes that ensure geometry is preserved and error handling is precise, enabling more reliable model outputs and streamlined reporting.
July 2025 performance summary for CityEnergyAnalyst (architecture-building-systems/CityEnergyAnalyst). Focused on documentation and data model clarity improvements for ventilation metrics and RCModelProperties. Implemented targeted documentation and type annotations for ventilation metrics (occupancy_helper.py, time_series_data.py) and RCModelProperties, improving clarity, maintainability, and reducing misinterpretation of parameters such as ventilation rates, area, and thermal properties. These changes enhance onboarding, support more reliable modeling workflows, and deliver business value through better model reliability and collaboration.
July 2025 performance summary for CityEnergyAnalyst (architecture-building-systems/CityEnergyAnalyst). Focused on documentation and data model clarity improvements for ventilation metrics and RCModelProperties. Implemented targeted documentation and type annotations for ventilation metrics (occupancy_helper.py, time_series_data.py) and RCModelProperties, improving clarity, maintainability, and reducing misinterpretation of parameters such as ventilation rates, area, and thermal properties. These changes enhance onboarding, support more reliable modeling workflows, and deliver business value through better model reliability and collaboration.
March 2025 performance summary for architecture-building-systems/CityEnergyAnalyst: delivered foundational improvements in occupancy data modeling and a broad codebase refactor with dashboard enhancements, driving energy-demand accuracy, stability, and deployment readiness.
March 2025 performance summary for architecture-building-systems/CityEnergyAnalyst: delivered foundational improvements in occupancy data modeling and a broad codebase refactor with dashboard enhancements, driving energy-demand accuracy, stability, and deployment readiness.
February 2025 monthly summary for architecture-building-systems/CityEnergyAnalyst. Key outcomes include improvements to solar radiation estimation, updates to reference data, and exploration of thermal-comfort modeling with PMV/PPD that was subsequently rolled back to preserve stability. These efforts collectively enhance energy generation accuracy, ensure analyses use current data, and demonstrate disciplined change management across features and bugs.
February 2025 monthly summary for architecture-building-systems/CityEnergyAnalyst. Key outcomes include improvements to solar radiation estimation, updates to reference data, and exploration of thermal-comfort modeling with PMV/PPD that was subsequently rolled back to preserve stability. These efforts collectively enhance energy generation accuracy, ensure analyses use current data, and demonstrate disciplined change management across features and bugs.
January 2025 monthly performance for architecture-building-systems/CityEnergyAnalyst focused on improving solar model fidelity, enhancing maintainability, and strengthening documentation. Deliverables centered on accurate PV/PVT and solar collector simulations, robust flat-roof PV handling, and codebase quality improvements to support sustained development and onboarding.
January 2025 monthly performance for architecture-building-systems/CityEnergyAnalyst focused on improving solar model fidelity, enhancing maintainability, and strengthening documentation. Deliverables centered on accurate PV/PVT and solar collector simulations, robust flat-roof PV handling, and codebase quality improvements to support sustained development and onboarding.
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