Energy Generation Forecast
A FastAPI-based REST API that predicts solar and wind energy generation using real-time weather data, with location and timezone support plus confidence intervals.
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Hackathon experience
We built an Energy Generation Forecast API during the hackathon—a FastAPI-based tool that predicts solar and wind power generation using weather data. Sounds simple, but early on we ran into a mess: inconsistent weather data, missing wind speeds, and total chaos with timezones. Some APIs gave us data in UTC, others in local time, and our models were predicting solar output at midnight. Not ideal.
To fix it, we built a preprocessing layer that cleaned and standardized all the weather inputs—normalizing timestamps, converting units, and adding automatic timezone detection based on location. We also added confidence intervals to show how reliable a prediction is. Once that was in place, everything clicked, and we had a clean, reliable API ready to go. Learned a ton, broke a bunch of things, and somehow made it work!
Project outcomes
We won 1st place at the hackathon with our Energy Generation Forecast API. The model achieved over 90% accuracy in predicting energy output based on weather, solar, and wind data. Judges praised its real-world applicability, precision, and robustness under different environmental conditions.
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Energy Generation Forecast
A FastAPI-based REST API that provides energy generation forecasts combining weather data, solar, and wind power generation predictions.
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