Microsoft Corporation
AUTONOMOUS CONTROL OF SUPERVISORY SETPOINTS USING ARTIFICIAL INTELLIGENCE

Abstract:

Systems and methods related to autonomous control of supervisory setpoints using artificial intelligence are described. In one example, a method including using a measurable attribute associated with a system, segmenting operational data associated with the system into at least a first bin and a second bin, is provided. The method further includes training a first brain based on a first data model associated with the first bin and training a second brain based on a second data model associated with the second bin. The method further includes using the first brain and the second brain, implemented by at least one processor, automatically generating predicted supervisory control suggestions for a plurality of supervisory setpoints associated with the system.