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Energy Trading: A Use Case Overview

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.

Main Results

Achieve up to <0.5% error deviation in energy price forecasts with our custom solution.

Get access to the Energy Trading use case