[ Overview ]
Energence is a renewable-energy optimisation platform that uses machine learning to predict and optimise solar and wind power generation. A data-ingestion pipeline pulls real-time weather data, a decoupled inference service runs the prediction models asynchronously, and a Redis cache keeps recent forecasts fast to serve. The dashboard lets operators monitor systems and maximise output against changing weather conditions.
[ Engineering highlights ]
- Real-time solar & wind generation forecasting
- Async inference service decoupled with Celery task queues
- Redis caching layer for low-latency predictions
- Interactive monitoring dashboards
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