Work / back to index

Energence

Forecast renewable energy before it's generated

Role

Solo developer

Year

2025

Category

AI / ML

Energence

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.

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
ReactDjangoTensorFlowPostgreSQLRedisCelery