INTEGRATING MACHINE LEARNING INTO CONTROL SYSTEMS

Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial...

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Main Authors BARKER, David, WARD, Abigail, WEBSTER, Stephen, PANNEERSHELVAM, Vedavyas, SCHWABACHER, Mark, GASPARIK, Amanda, GAMBLE, Christopher, REISHUS, Dustin, BENNETT, Zakerey, GAO, Jim, FUENFFINGER, Daniel, LUO, Jerry, KIEPER, Timothy, Jason, KIM, Brian
Format Patent
LanguageEnglish
French
German
Published 04.03.2020
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.
Bibliography:Application Number: EP20180731233