Invention Grant
- Patent Title: Power grid aware machine learning device
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Application No.: US16814596Application Date: 2020-03-10
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Publication No.: US11334036B2Publication Date: 2022-05-17
- Inventor: Weiwei Yang , Christopher Miles White , Kateryna Lytvynets , Darren Keith Edge , Amber D. Hoak
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G05B13/02
- IPC: G05B13/02 ; G05B13/04 ; G06N3/04 ; G06N3/08

Abstract:
A system and method for managing operation of electrical devices includes a control module that monitors status of multiple sources of electrical power to one or more electrical devices and electrical usage of the one or more electrical devices that receive electricity from the source of electrical power. The operation of the one or more electrical devices is managed using a machine learning model that forecasts status of the at least one source of electrical power and generates operational rules for the one or more electrical devices from historical values of control parameters of the one or more electrical devices, the status of the source of electrical power, and the electrical usage of the one or more electrical devices. The system may optimize renewable energy utilization, power grid stabilization, cost of electrical power usage, and the like.
Public/Granted literature
- US20210003974A1 POWER GRID AWARE MACHINE LEARNING DEVICE Public/Granted day:2021-01-07
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