Identifying a malfunction in the nation’s power grid can be like trying to find a needle in an enormous haystack. A new machine-learning technique could pinpoint potential power grid failures or cascading traffic bottlenecks in real time.
Identifying a malfunction in the nation’s power grid can be like trying to find a needle in an enormous haystack. Hundreds of thousands of interrelated sensors spread across the U.S. capture data on electric current, voltage, and other critical information in real time, often taking multiple recordings per second.
