Weather Forecasting

AI Hourly Weather Model RMSE: EPT-2 Beats ECMWF & GraphCast

1 / 5

RMSE is the decisive metric for energy traders at short lead times, where small temperature or wind errors can move spreads and positions before intraday gate closure.

2 / 5

EPT-2 and EPT-2e set the current StationBench standard at 1 h, 3 h, and 6 h lead times for 2 m temperature, 100 m wind speed, and precipitation across more than 10,000 ground-truth stations.

3 / 5

The native any-Δt architecture lets EPT-2 output forecasts at arbitrary time steps without interpolation or rolling, so its largest advantage appears at the 1 h and 3 h windows that matter most for intraday power markets.

4 / 5

Improved hourly accuracy translates directly into P&L: a 1 GW wind portfolio gaining four percentage points of forecast skill can save approximately €1.5 M per year, with similar gains for solar portfolios.

5 / 5

See EPT-2 on your assets to run live StationBench comparisons on your own region and variables and see the P&L delta in under five minutes.

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Jua's EPT-2 sets the StationBench standard at 1h, 3h & 6h lead times. See how AI hourly RMSE outperforms ECMWF & GraphCast for energy trading.

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