Product
1 / 5
Energy forecasting platforms should be judged on six criteria: model accuracy, operational usability, reliability, scalability, integration fit, and domain applicability.
2 / 5
Weather drives most short-term moves in electricity, gas, and renewables prices, so forecast accuracy directly affects P&L for portfolios of any size.
3 / 5
Jua for Energy’s EPT-2 foundation model outperforms ECMWF HRES across all lead times and energy-relevant variables, while EPT-2e improves on the 50-member ECMWF ENS mean for RMSE and CRPS.
4 / 5
The platform replaces the 7–9 a.m. manual briefing routine with Athena-generated natural-language briefings, divergence alerts, and 15-minute intraday refreshes across five European markets.
5 / 5
See these capabilities in action and schedule a live demonstration of Jua for Energy’s forecasting platform.
Score vendors on accuracy, usability, reliability & integration. See why power traders choose Jua's AI-native forecasts — book a demo today.