-
MIT researchers use large language models to flag problems in complex systems
Identifying one faulty turbine in a wind farm, which can involve looking at hundreds of signals and millions of data points, is akin to finding a needle in a haystack. Engineers often streamline this complex problem using deep-learning models that can detect anomalies in measurements taken repeatedly over time by each turbine, known as time-series…
-
Generative AI for smart grid modeling
MITโs Laboratory for Information and Decision Systems (LIDS) has been awarded $1,365,000 in funding from the Appalachian Regional Commission (ARC) to support its involvement with an innovative project, โForming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform.โ The grant was made available through ARC’s Appalachian Regional Initiative for Stronger Economies, which fosters…