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Quick Solar Estimates
To fully understand the process of building, 'dockerising', and deploying an interactive web application, I built this scalable, flask-based application from the ground up. It is designed to help homeowners begin their journey towards sustainable, solar power.
This application integrates near-global coverage of hourly historical meteorological data, an open-source python package for advanced solar modelling, and a SQLite database for saving parameters. This 1st version of Quick Solar Estimates focusses on usability and infrastructural robustness for future scalability.
This demo shows an example of how to use the platform
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