Weather Forecasting
1 / 5
Jua for Energy’s EPT-2 model delivers deterministic accuracy that beats ECMWF HRES on every lead time for wind, temperature, and solar radiation.
2 / 5
EPT-2e outperforms the 50-member ECMWF ENS mean on both RMSE and CRPS at virtually every lead time, providing superior probabilistic skill.
3 / 5
Up to 24 daily refreshes and 2.5-hour dissemination lead times remove the structural blind spots created by legacy NWP cycles.
4 / 5
Schema-stable Python SDK, Apache Arrow support, and multi-year hindcast access let quant teams integrate and backtest in days rather than quarters.
5 / 5
Book a demo with Jua to run live benchmarks on your region and variables and see the accuracy advantage firsthand.
Jua's EPT-2 beats ECMWF HRES on wind, solar & temperature. See how top weather APIs compare for energy trading. Book a live benchmark demo today.