Research
1 / 5
European power markets in 2026 rely on nearly 50% renewable generation and show wider daily price spreads, so single-number point forecasts no longer capture outcome uncertainty.
2 / 5
Probabilistic ensemble forecasts, evaluated using CRPS, provide full outcome distributions that support better-calibrated trading decisions, bid ladders, and risk hedging compared with deterministic approaches.
3 / 5
EPT-2e outperforms the ECMWF ENS mean on both RMSE and CRPS across lead times, which delivers measurable cost savings for wind and solar portfolios through lower imbalance penalties.
4 / 5
Athena converts ensemble outputs into actionable briefings and backtests in approximately 90 seconds, which streamlines day-ahead bidding, intraday adjustments, and reserve sizing for European BRPs.
5 / 5
See how EPT-2e compares to your current forecasting stack and unlock probabilistic advantages in energy trading.
Jua's ensemble forecasts beat point predictions in volatile EU power markets. Cut imbalance penalties and sharpen your trading edge — try Jua now.