
Alec Mitchell developed foundational wind energy analytics capabilities for the Houjio/HarmoniQ repository, focusing on scalable data modeling and park-level production aggregation. He designed and implemented wind turbine and wind farm schemas, integrated external weather data sources, and built a Flask-based interface for weather data management. Using Python, SQL, and CSS, Alec refactored data import flows, enhanced simulation modeling with power curve libraries, and improved calculation accuracy by addressing temperature handling and aggregation logic. His work enabled robust, maintainable analytics infrastructure, supporting both turbine- and park-level forecasting, and demonstrated depth in backend development, data engineering, and numerical computation within a short timeframe.

April 2025 (Houjio/HarmoniQ): Delivered park-level aggregation for wind turbine production and refactored calculations to operate at wind-farm level, accompanied by updates to the database schema and data loading scripts to support park-centric analytics. Implemented a bug fix for ice_loss_factor by converting temperatures to Kelvin and adjusting wind power calculation to ignore wind direction, ensuring correct temperature handling and accurate power estimates. These changes enhance reporting scalability across wind farms and improve data accuracy for forecasting and decision-making.
April 2025 (Houjio/HarmoniQ): Delivered park-level aggregation for wind turbine production and refactored calculations to operate at wind-farm level, accompanied by updates to the database schema and data loading scripts to support park-centric analytics. Implemented a bug fix for ice_loss_factor by converting temperatures to Kelvin and adjusting wind power calculation to ignore wind direction, ensuring correct temperature handling and accurate power estimates. These changes enhance reporting scalability across wind farms and improve data accuracy for forecasting and decision-making.
March 2025 (Houjio/HarmoniQ) delivered enhancements to wind energy modeling and maintained code quality. Key business value: enabling accurate wind energy production simulations in the QC region for better planning and optimization, while preserving stable functionality. Activities focused on feature delivery with a minimal risk of regression.
March 2025 (Houjio/HarmoniQ) delivered enhancements to wind energy modeling and maintained code quality. Key business value: enabling accurate wind energy production simulations in the QC region for better planning and optimization, while preserving stable functionality. Activities focused on feature delivery with a minimal risk of regression.
February 2025 monthly summary for Houjio/HarmoniQ: Delivered foundational data models and data infrastructure enhancements for wind turbine and wind farm management, launched a Flask-based weather data interface, and integrated external data sources. Notable improvements include robust wind turbine weather data handling, removal of obsolete components, and dependency updates enabling web scraping and Env Canada data. These efforts improve data accuracy, enable farm-level analytics, and expand data sources, driving operational efficiency and informed decision-making.
February 2025 monthly summary for Houjio/HarmoniQ: Delivered foundational data models and data infrastructure enhancements for wind turbine and wind farm management, launched a Flask-based weather data interface, and integrated external data sources. Notable improvements include robust wind turbine weather data handling, removal of obsolete components, and dependency updates enabling web scraping and Env Canada data. These efforts improve data accuracy, enable farm-level analytics, and expand data sources, driving operational efficiency and informed decision-making.
Monthly summary for 2025-01: Completed Wind Energy Analytics Groundwork in Houjio/HarmoniQ, establishing the foundation for wind data processing and analytics. Implemented core dependencies (nrel-pysam, windpowerlib, geopandas), integrated PySAM, and added initial wind turbine data processing capabilities and data import scaffolding from the NREL toolkit. Refactored the data import flow to prepare for future data sources and removed an obsolete NREL data query file to clean the repository. These changes position the team for scalable wind energy analytics and faster onboarding of new data sources.
Monthly summary for 2025-01: Completed Wind Energy Analytics Groundwork in Houjio/HarmoniQ, establishing the foundation for wind data processing and analytics. Implemented core dependencies (nrel-pysam, windpowerlib, geopandas), integrated PySAM, and added initial wind turbine data processing capabilities and data import scaffolding from the NREL toolkit. Refactored the data import flow to prepare for future data sources and removed an obsolete NREL data query file to clean the repository. These changes position the team for scalable wind energy analytics and faster onboarding of new data sources.
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