Weather Forecasting
1 / 5
Energy analytics splits into two categories. Consumption and ESG tools track historical usage and bills. Predictive trading platforms forecast atmospheric variables that drive real-time P&L decisions.
2 / 5
Consumption platforms like EnergyCAP and Schneider EcoStruxure align to monthly billing cycles. They do not provide atmospheric forecasts, ensembles, or trading-grade accuracy benchmarks.
3 / 5
Jua for Energy’s EPT-2 model beats ECMWF HRES on every lead time (0–240 h) for 10 m wind, 100 m wind, 2 m temperature, and surface solar radiation. EPT-2e outperforms the 50-member ECMWF ENS on RMSE and CRPS.
4 / 5
EPT-2 RR refreshes up to 24 times per day at a fraction of NWP cost. Athena turns natural-language objectives into briefings, benchmarks, and backtests in about 90 seconds, while complex multi-year backtests complete in roughly…
5 / 5
Book a demo with Jua to run live benchmarks against 25+ models on your own region and variables in under five minutes.
Jua's EPT-2 outperforms ECMWF on every lead time. See why predictive energy analytics platforms beat consumption tools for trading teams in 2026.