Product
1 / 5
Forecast accuracy directly drives P&L. A four-percentage-point improvement saves about €1.5 M per GW of wind or €3 M per GW of solar each year through lower imbalance penalties and better dispatch.
2 / 5
Traditional NWP models are costly and slow. Jua’s EPT-2 foundation model delivers higher accuracy at roughly four orders of magnitude lower compute cost, with refresh rates of up to 24 updates per day.
3 / 5
Integrating Jua for Energy replaces manual workflows with automated consensus, delta, and convergence tracking across 25+ models through a single REST API and Python SDK.
4 / 5
A 90-day phased rollout that covers benchmark, parallel operation, and production integration delivers measurable ROI within the first quarter for multi-GW portfolios.
5 / 5
Book a live benchmark on your region and variables to see EPT-2 outperform ECMWF and other models in under five minutes. Schedule a Jua benchmark on your own portfolio.
Jua's AI forecasting cuts imbalance penalties and boosts ROI for wind & solar portfolios. See measurable returns in 90 days. Book a benchmark now.