In this installment of NREL’s "Tell Me Something Grid" series, we examine cyberphysical dynamics with increasing distributed energy resources.

As more communities plan to eventually rely on 100% renewable energy, the researchers offer a strategy that could guide their paths — one that shifts away from long-duration storage.

Utilities spend $8 billion annually on energy efficiency, often without knowing whether they are helping or hurting the balance of supply and demand on the electric grid.

The researchers took an alternative approach by using adversarial training, in which the model produces physically realistic details by observing entire fields at a time, providing high-resolution climate data at a much faster rate.