Weather Forecasting
1 / 5
European energy forecasting is moving from traditional NWP to AI-native physics models that deliver higher accuracy at far lower cost and latency.
2 / 5
Jua’s EPT-2 outperforms ECMWF HRES on every lead time for key energy variables, and EPT-2e improves on the 50-member ECMWF ENS mean on RMSE and CRPS.
3 / 5
Native 5 km resolution, frequent intraday updates, and 15-minute actual-generation refreshes make EPT-2 suitable for production energy trading workloads.
4 / 5
Apache Arrow support, hindcast access, and a unified schema across 25+ models simplify integration and backtesting for quant teams.
5 / 5
Run live benchmarks on your European portfolio with Jua and quantify the uplift against your current forecasts.
Jua's AI-native weather API outperforms ECMWF HRES across Europe. Get 5 km resolution, low latency, and energy-grade accuracy. Benchmark it today.