Product
1 / 5
European physical trading houses rely on a fragmented mix of ECMWF ENS, NOAA GFS, and regional models delivered as raw GRIB files that require heavy manual post-processing.
2 / 5
Traditional NWP models refresh only 2–4 times per day, which creates structural staleness and leaves traders acting on forecasts that are hours old.
3 / 5
Jua for Energy consolidates 25+ models, including 10 proprietary AI models, into one workspace for instant head-to-head benchmarking on RMSE and CRPS.
4 / 5
The platform’s rapid-refresh models (EPT2-RR) update up to 24 times daily at a fraction of the cost and energy of conventional NWP runs, so traders see forecasts hours ahead of the next traditional cycle.
5 / 5
Real-time divergence, correction, and threshold alerts replace manual monitoring, while booking a demo lets you test Jua for Energy on your own region and variables in under five minutes.
See how European physical trading houses use AI weather models for day-ahead and intraday power positions. Jua consolidates 25+ models in one place.