ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,572, issued on Sept. 23, was assigned to Vigilent Corp. (Oakland, Calif.).
"Optimal control with deep learning" was invented by Clifford C. Federspiel (El Cerrito, Calif.) and Peter C. Varadi (El Cerrito, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Embodiments provide a machine learning model to identify changes in setpoints of one or more environmental control modules that, while having a high critical error, provide greater reductions in a cost function associated with the one or more environmental modules provided in an environmentally controlled space. The high critical error associated with the identified changes may still be within ...