Marcos Mosteiro Romero contributed to the CityEnergyAnalyst repository by developing and refining features for building energy modeling, solar energy simulation, and data reporting. He enhanced solar model fidelity and data integrity by improving PV/PVT calculations, implementing robust error handling, and updating reference datasets. Using Python and Pandas, Marcos refactored core modules for maintainability, introduced new parameters for occupancy and ventilation, and expanded API support for time series data. His work included detailed documentation, type annotations, and modernized reporting outputs to XLSX, resulting in more reliable analytics and streamlined workflows. The depth of his contributions improved both model accuracy and developer onboarding.
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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