
Over four months, contributed to Houjio/HarmoniQ by building and enhancing energy modeling modules for solar, nuclear, and thermal power systems. Developed end-to-end solar production analytics, integrating pvlib-based calculations, data ingestion, and visualization using Python and pandas. Expanded the codebase to support multi-plant scenarios, population-weighted yield estimation, and financial and environmental impact assessments, including CO2 emissions and construction costs. Improved data models with type hints and validation, and introduced new plotting features such as heatmaps. Refactored core modules for maintainability, updated repository hygiene, and fixed calculation bugs, resulting in more accurate forecasts and robust, scalable energy analytics infrastructure.
April 2025 performance summary for Houjio/HarmoniQ focused on delivering scalable solar and nuclear analytics, expanding multi-year horizon capabilities, and strengthening data quality and visualization to support business decisions.
April 2025 performance summary for Houjio/HarmoniQ focused on delivering scalable solar and nuclear analytics, expanding multi-year horizon capabilities, and strengthening data quality and visualization to support business decisions.
March 2025 performance highlights for Houjio/HarmoniQ: Delivered end-to-end energy modeling enhancements across nuclear, thermal, and solar domains, expanded data ingestion pipelines and schemas, and strengthened testing assets. Business value delivered includes more accurate production forecasts, richer weekly planning visuals, and robust validation datasets enabling higher confidence in model-driven decisions.
March 2025 performance highlights for Houjio/HarmoniQ: Delivered end-to-end energy modeling enhancements across nuclear, thermal, and solar domains, expanded data ingestion pipelines and schemas, and strengthened testing assets. Business value delivered includes more accurate production forecasts, richer weekly planning visuals, and robust validation datasets enabling higher confidence in model-driven decisions.
February 2025 — Houjio/HarmoniQ: Delivered major feature enhancements and refactors to energy production estimation with a focus on accuracy, scalability, and maintainability. Key items include: 1) Solar energy calculation module refinements and enhancements: removed altitude dependency, added residential solar energy production estimation, introduced power-to-surface and surface-to-power utilities, multi-plant support, clarified parameter naming, added performance timing, and incorporated regional population weighting for accurate solar yield estimation. 2) Nuclear power production estimation: added annual nuclear production calculation with maintenance windows, hourly production data integration, and weekly trend visualization. 3) Code cleanup and maintainability improvements: removed deprecated functions (e.g., residential_solar_energy), updated naming conventions and population dictionaries, adjusted coordinates, and introduced a performance timer. 4) Business impact: improved accuracy of solar yield estimates, scalability for multi-plant planning, and the ability to perform trend-based forecasting for better decision making.
February 2025 — Houjio/HarmoniQ: Delivered major feature enhancements and refactors to energy production estimation with a focus on accuracy, scalability, and maintainability. Key items include: 1) Solar energy calculation module refinements and enhancements: removed altitude dependency, added residential solar energy production estimation, introduced power-to-surface and surface-to-power utilities, multi-plant support, clarified parameter naming, added performance timing, and incorporated regional population weighting for accurate solar yield estimation. 2) Nuclear power production estimation: added annual nuclear production calculation with maintenance windows, hourly production data integration, and weekly trend visualization. 3) Code cleanup and maintainability improvements: removed deprecated functions (e.g., residential_solar_energy), updated naming conventions and population dictionaries, adjusted coordinates, and introduced a performance timer. 4) Business impact: improved accuracy of solar yield estimates, scalability for multi-plant planning, and the ability to perform trend-based forecasting for better decision making.
January 2025 monthly summary for Houjio/HarmoniQ: Delivered a complete Solar Energy Production Module integrated into the Solaire package, enabling end-to-end solar production modeling. The feature includes dependency setup, project scaffolding, calculations using pvlib, data fetching, visualization, and seamless integration into the solaire module. In addition, repository hygiene improvements were completed with a new .gitignore to prevent common build artifacts from being tracked. A targeted refactor of the production calculation code was performed, including renaming fct_production_solaire.py to calculs_production_solaire.py and updating related invocation points to align naming and API usage. pyproject.toml was updated to reflect new dependencies and packaging considerations. These efforts advance production-readiness, improve maintainability, and reinforce data-driven decision support for solar production analytics.
January 2025 monthly summary for Houjio/HarmoniQ: Delivered a complete Solar Energy Production Module integrated into the Solaire package, enabling end-to-end solar production modeling. The feature includes dependency setup, project scaffolding, calculations using pvlib, data fetching, visualization, and seamless integration into the solaire module. In addition, repository hygiene improvements were completed with a new .gitignore to prevent common build artifacts from being tracked. A targeted refactor of the production calculation code was performed, including renaming fct_production_solaire.py to calculs_production_solaire.py and updating related invocation points to align naming and API usage. pyproject.toml was updated to reflect new dependencies and packaging considerations. These efforts advance production-readiness, improve maintainability, and reinforce data-driven decision support for solar production analytics.

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