In this use case, we demonstrate how we've taken energy trading to a new dimension by combining and integrating forecasts from different energy sources, including wind, solar, and hydro. This integration simplifies the decision-making process, minimizes deviations, and maximizes both accuracy and revenue.
Achieve up to <0.5% error deviation in energy price forecasts with our custom solution.