Weather Forecasting

Imbalance Cost Reduction: AI Weather Forecasts for Europe

1 / 5

European imbalance costs track forecast error directly. A 1 GW wind portfolio that gains four percentage points of accuracy saves about €1.5 million per year under typical hedging and penalty structures.

2 / 5

Jua’s EPT-2 RR and EPT-2 HRRR models deliver up to 24 updates per day at a tiny fraction of traditional NWP compute cost, so traders work from near-real-time forecasts instead of four fixed daily runs.

3 / 5

The Jua platform’s live benchmarking surface lets traders compare more than 25 models, including EPT-2, ECMWF, and Microsoft Aurora, on any region or variable in seconds, replacing vendor claims with measurable accuracy.

4 / 5

Athena, Jua’s AI agent, turns raw probabilistic output into trading-ready briefings, benchmarks, and PICASSO-compliant bid curves in roughly 90 seconds, which removes the manual 7–9 a.m. prep routine.

5 / 5

See how your current forecasts compare to EPT-2 on your own portfolio and quantify your potential €/MWh imbalance savings.

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Cut €/MWh imbalance penalties with Jua's AI forecasts. Up to 24 daily updates, 25+ model benchmarks, and PICASSO-ready bid curves in 90 seconds.

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