Research
1 / 5
Renewable portfolio forecast accuracy remains the single most consequential P&L driver for European utilities, trading houses, and quant funds in 2026.
2 / 5
Spatial aggregation across diversified wind and solar portfolios delivers clear reductions in day-ahead and intraday MAPE compared with single-asset baselines.
3 / 5
Accuracy gains convert directly into avoided imbalance costs, with a four-percentage-point improvement saving about €1.5 M per year on a 1 GW wind portfolio and €3 M per year on a 1 GW solar portfolio.
4 / 5
Jua EPT-2 and EPT-2e outperform ECMWF benchmarks across all lead times and variables, delivering the highest verified accuracy in production while updating up to four times daily at 5 km resolution.
5 / 5
Benchmark EPT-2 on your portfolio to compare it with your current forecast provider on your own European region and renewable assets.
Jua benchmarks 2026 wind & solar forecast accuracy across Europe. Cut imbalance costs with AI models that beat ECMWF. See the data — book a demo.