IonQ, Oak Ridge Researchers Use Quantum Algorithm to Solve Power Grid Problem

> the team was able to find low-cost solutions for power generation scheduling across a range of grid scenarios, including a model with 26 generators and a full day’s worth of hourly demand.

That does not seem like a massive problem where a quantum computer provides a clear advantage: 26 * 24 = 624 values to optimize over.