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Brookhaven National Laboratory is spearheading a DOE initiative to develop GridFM, an AI foundation model capable of simulating billions of grid scenarios in under 24 hours compared to traditional months-long processes. This advancement directly addresses critical needs for managing renewable integration and enhancing cybersecurity resilience within the electrical infrastructure. The project represents a significant leap in applying large-scale machine learning models to solve complex, real-time energy system challenges.
Brookhaven Lab leads artificial intelligence project for energy grid innovation
Brookhaven National Laboratory will lead a three-year national project using complex new artificial intelligence systems to quickly model billions of scenarios to help grid operators adapt to spur-of-the moment challenges and longer-term planning needs, the U.S. Department of Energy announced Tuesday. The $14.2 million project will pool the resources of research institutes such as BNL and Stony Brook University, private entities such as IBM Research and utilities such as LIPA and Con Edison to model ways to…
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