US Patent Issued to Georgia Tech Research on March 3 for "Power converters utilizing deep learning neural networks and methods of use" (Georgia Inventors)

ALEXANDRIA, Va., March 3 -- United States Patent no. 12,567,746, issued on March 3, was assigned to Georgia Tech Research Corp. (Atlanta).

"Power converters utilizing deep learning neural networks and methods of use" was invented by Mohammadreza Miranbeigi (Atlanta), Rajendra Prasad Kandula (Atlanta) and Deepak M. Divan (Atlanta).

According to the abstract* released by the U.S. Patent & Trademark Office: "An exemplary embodiment of the present disclosure provides a power converter system comprising a power converter. The power converter system can comprise a power converter electrically connected to a local power supply and an electrical utility grid. The power converter can comprise an output configured to exchange electrical power with ...