Research
1 / 5
Traders evaluate day-ahead solar forecasts with RMSE for deterministic runs and CRPS for ensemble outputs at 12–36 hour lead times.
2 / 5
Improving forecast accuracy by four percentage points on a 1 GW solar portfolio can save about €3 M per year under European hedging and imbalance structures.
3 / 5
EPT-2 outperforms ECMWF HRES on surface solar radiation across the full 0–240 hour range, and EPT-2e beats the 50-member ECMWF ENS mean on both RMSE and CRPS.
4 / 5
Jua for Energy provides up to 24 daily refreshes, native ensembles, and a unified API that removes manual ingestion work for quant teams.
5 / 5
See how your forecasts compare and benchmark your region against 25+ models in under 5 minutes.
Improve day-ahead solar forecast accuracy, cut imbalance costs, and outperform ECMWF. See how Jua's AI forecasts benchmark across 25+ models.