
Justin McCarty developed advanced analytics and climate data processing features for the CityEnergyAnalyst repository, focusing on energy systems modeling and weather file manipulation. He delivered an advanced energy analytics extension that expanded metrics, introduced seasonal masking, and added a lifetime photovoltaic production function, all implemented in Python using Numpy and Pandas. Justin also integrated robust data handling to improve output consistency and resilience against missing or legacy data. In addition, he built core climate morphing capabilities for weather data, upgrading the morphing library and enhancing configuration options. His work improved analytical depth, maintainability, and the accuracy of climate scenario analysis workflows.

September 2025 monthly work summary for CityEnergyAnalyst focused on delivering core morphing capabilities for weather data and strengthening maintainability. Key contributions include integrating the climate morphing core into the CEA Weather Helper with a library upgrade to 1.0.3 (featuring caching and improved variable handling) and expanding configuration to include the 'Upper Middle' climate pathway. Documentation and metadata for the epwmorpher module were updated to improve clarity, authorship, licensing, and versioning. These efforts improve climate scenario analysis, performance, and maintainability, and set the stage for scaled future enhancements.
September 2025 monthly work summary for CityEnergyAnalyst focused on delivering core morphing capabilities for weather data and strengthening maintainability. Key contributions include integrating the climate morphing core into the CEA Weather Helper with a library upgrade to 1.0.3 (featuring caching and improved variable handling) and expanding configuration to include the 'Upper Middle' climate pathway. Documentation and metadata for the epwmorpher module were updated to improve clarity, authorship, licensing, and versioning. These efforts improve climate scenario analysis, performance, and maintainability, and set the stage for scaled future enhancements.
Month: 2024-11 — Delivered advanced analytics enhancements for CityEnergyAnalyst, improving energy modeling capabilities, data robustness, and output consistency. Key features delivered include the Advanced Energy Analytics Extension and Robust Analytics Data Processing. These changes expand metrics, add seasonal masking, introduce lifetime PV production function, and harden analytics against missing data and older DB versions. Result: higher fidelity energy analyses, streamlined reporting, and better resilience in production pipelines. Also integrated into scripts and updated database components to support extended analytics.
Month: 2024-11 — Delivered advanced analytics enhancements for CityEnergyAnalyst, improving energy modeling capabilities, data robustness, and output consistency. Key features delivered include the Advanced Energy Analytics Extension and Robust Analytics Data Processing. These changes expand metrics, add seasonal masking, introduce lifetime PV production function, and harden analytics against missing data and older DB versions. Result: higher fidelity energy analyses, streamlined reporting, and better resilience in production pipelines. Also integrated into scripts and updated database components to support extended analytics.
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