Energy companies require accurate weather forecasts to make informed trading decisions, but existing models often lack the precision and speed needed to effectively predict market-impacting weather events. Traditional weather forecasting methods struggle to incorporate new data sources and deliver timely insights, hindering optimal energy trading strategies.

Jua offers an AI-driven weather forecasting platform tailored for the energy industry, leveraging a proprietary "Large Physics Model" to predict weather conditions with high accuracy and speed. By incorporating millions of primary data points and advanced AI techniques, Jua delivers precise forecasts of critical weather parameters, such as wind and temperature, up to 31 days in advance. This enables energy traders to anticipate market fluctuations, optimize power and demand forecasting, and trade renewable energy with greater precision. Jua's forecasts are disseminated up to 2.5 hours earlier than traditional models, providing a competitive edge in fast-moving energy markets.

AI-driven "Large Physics Model" utilizing millions of primary data points for enhanced accuracy

Forecasts weather parameters relevant to energy trading, including wind at 100m, temperature, and solar irradiance

Prediction capabilities up to 31 days, enabling medium-term trading strategy optimization

Unmatched temporal accuracy for pinpointing the timing of significant weather events

Delivery of forecasts up to 2.5 hours earlier compared to traditional models

AI ensemble model leveraging diverse predictive insights for superior accuracy

Solutions for optimized power and demand forecasting, renewable energy trading, and early identification of major weather events

The primary target audience includes energy traders, power grid operators, and renewable energy companies who rely on accurate weather forecasts to optimize trading strategies and manage energy resources.