Product
1 / 5
AI solar power forecasting converts raw irradiance data from satellites, ground stations, and NWP models into probabilistic power-output estimates that grid operators and traders can act on.
2 / 5
Traditional NWP models update only 2–4 times per day and consume massive compute, which leaves forecasts stale and exposes portfolios to imbalance costs of up to €3 million per GW annually.
3 / 5
Physics-informed foundation models like Jua’s EPT-2 learn conservation laws directly from data, deliver higher accuracy at lower cost, and reach update frequencies of up to 24 times per day.
4 / 5
Jua for Energy combines EPT-2 forecasts with the Athena agent to surface real-time divergence alerts and trading signals used by major utilities and trading houses worldwide.
5 / 5
See how EPT-2 performs on your portfolio and benchmark it against your current solar forecast provider in under five minutes.
Jua's physics-informed AI solar forecasting updates 24x daily, outperforming NWP models. Reduce imbalance costs and trade smarter — try Jua today.