With the assistance of artificial intelligence, researchers at Argonne are developing new ways to extract insights about the electric grid from mountains of data, with the goal of ensuring reliability and efficiency. The work combines Argonne's long-standing grid expertise with its advanced computing facilities and experts.

Researchers at Argonne National Laboratory are working on optimization models that use machine learning, a form of artificial intelligence, to simulate the electric system and the severity of various problems. In a region with 1,000 electric power assets, an outage of just three assets can produce nearly a billion scenarios of potential failure. Argonne researchers apply machine learning to inform more reliable grid planning and operations. The following article is part of a series on Argonne National Laboratory's efforts to use the predictive power of artificial intelligence, specifically machine learning, to advance discoveries in a broad range of scientific disciplines. How much electricity will you need tomorrow?