Weather Forecasting
1 / 5
Probabilistic forecasts provide distributions of possible outcomes instead of single values, so traders can quantify uncertainty for wind ramps, load balancing, and hedging.
2 / 5
Ensemble systems run multiple perturbed simulations, then use the spread between members as a proxy for forecast uncertainty, evaluated with CRPS rather than RMSE.
3 / 5
Probability of precipitation (PoP) and other threshold-based exceedance probabilities come directly from ensemble member counts and feed trading and dispatch decisions.
4 / 5
Key use cases include wind-ramp probabilities above 60% as day-ahead hedging triggers, cloud-cover exceedance for intraday solar rebalancing, and temperature tails for gas and load demand risk.
5 / 5
Explore probabilistic forecasts tailored to your portfolio on the Jua platform.
Jua delivers probabilistic weather forecasts that quantify uncertainty for energy trading. Hedge smarter with ensemble-driven wind, solar & load data.