Data scientist Tianzhixi “Tim” Yin is among many scientists at PNNL working to increase confidence in artificial intelligence when it comes to electric grid operations.

The contemporary electric grid contains an increasing number of inputs from intermittent energy sources and energy storage devices, along with greater energy demands from farms, homes, transportation and businesses, as well as potential disruptions from extreme weather events. Balancing the inputs and outflows taxes system operators. PNNL researchers are helping develop machine learning systems to alleviate some of that burden.