Research
1 / 5
Renewable energy forecasting accuracy directly drives European power prices, with forecast errors creating intraday volatility and substantial balancing penalties for BRPs.
2 / 5
Spatiotemporal foundation models like EPT-2 beat legacy NWP benchmarks such as ECMWF HRES across wind, temperature, and solar radiation variables at every lead time from 0–240 hours.
3 / 5
EPT-2 delivers forecasts at up to 1 km resolution with update frequencies up to 24 times per day at a fraction of the compute cost of traditional NWP simulations.
4 / 5
Jua for Energy combines EPT-2 physics forecasts with Athena agents to deliver actionable briefings, benchmarks, and backtests that plug into existing trading pipelines.
5 / 5
Benchmark EPT-2 against your current provider and unlock higher-accuracy renewable forecasts for European energy trading.
Jua's 2026 benchmark shows how AI forecasting cuts volatility & balancing costs for European renewables. See how EPT-2 outperforms ECMWF HRES.