Input from humans helps when deciding whether to trust the recommendations or decisions of a machine-learning system.

EGRASS helps prepare and fortify critical structures to protect against the worst consequences of new hurricanes.

COVID-19 changed when and where we use electricity. Researchers showed that commonly available total demand data masked the actual changes.

Reimagining the United States power grid could save consumers $50 billion a year.

Artificial intelligence-based decision tool enables grid operators to respond more quickly and effectively to grid emergencies.

PNNL has released the first version of ExaGO, an open-source grid modeling software that can take advantage of emerging heterogeneous computing architecture to help grid operators plan ahead for extreme events.