Weather Forecasting
1 / 5
Traditional NWP sources like ECMWF deliver reliable but costly and infrequent forecasts that demand heavy in-house processing.
2 / 5
AI foundation models such as Jua’s EPT-2 now beat ECMWF HRES on key energy variables across all lead times and offer up to 24 daily updates.
3 / 5
Energy traders need hub-height wind, surface solar radiation, temperature, and ensemble outputs at high spatial resolution to manage day-ahead and intraday positions.
4 / 5
Jua for Energy combines its own foundation model with a production-grade Python SDK, Apache Arrow API, ENTSO-E integration, and multi-year hindcasts for rapid backtesting.
5 / 5
Benchmark EPT-2 against your current provider and see how Jua accelerates energy-trading decisions.
Compare top Europe weather data APIs for energy. Jua's AI-powered EPT-2 beats ECMWF on wind & solar variables. Benchmark your provider today.