Our most precise model yet: Hedge against weather forcasting uncertainties with EPT-2 Ensemble.

EPT-2e is Jua’s state-of-the-art, 30-member ensemble model designed for fully probabilistic forecasting. By clearly outperforming long-standing benchmarks like the HRES and ECMWF ensemble means, it redefines accuracy and reliability in medium- to long-range weather predictions. For energy traders, this means sharper demand forecasts, better risk hedging, and stronger confidence in long-horizon positions. Updated daily—and available via platform, API, or SDK—EPT-2e delivers the insights you need to optimize trading strategies and navigate volatile markets with precision.

Always get the latest weather data with Rapid Refresh

EPT-2 Rapid Refresh is Jua’s fastest global forecast, updated 24 times per day—every single hour. Powered by direct satellite observations, it delivers real-time accuracy far beyond traditional models that refresh only four times daily. For spot energy traders, Rapid Refresh means staying ahead of sudden weather shifts, optimizing intraday positions, and making confident calls in volatile markets.

‘Demand Forecasts’ by Yes Energy enable you to make the most informed decisions possible when buying and selling in organized wholesale markets in Europe, New Zealand, Australia, Japan, Philippines, North America, and other regions.

Generated with proprietary forecasting engines, ‘Demand Forecasts’ by Yes Energy feed comprehensive weather variables and calendar information to proprietary algorithms. The advanced regression models use detailed demand and weather observation history and incorporate the latest near-term data to respond to changing weather patterns, extreme weather events, and holidays that might impact energy demand. This is all backed by an expert team of analysts and engineers reviewing and maintaining every model, ensuring the most accurate and reliable forecasting in the industry.

enercast YAS is a backcasting tool for wind and solar generation sites.  Proven enercast forecast models are used to simulate the power output of existing or projected plants, enabling a market-oriented yield assessment for the site.

With options to add trained backcasts and use realworld forecast configurations, you can accurately replicate historical forecast computation in an instant. This helps incorporate forecastability in the risk assessment of any potential assets, resulting in faster and more profitable portfolio decisions.