Invention Grant
- Patent Title: Machine learning of electrical power system behavior, and related systems, apparatuses, and methods
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Application No.: US15474729Application Date: 2017-03-30
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Publication No.: US10410153B2Publication Date: 2019-09-10
- Inventor: John Michael Fife
- Applicant: Demand Energy Networks, Inc.
- Applicant Address: US MA Boston
- Assignee: Enel X North America, Inc.
- Current Assignee: Enel X North America, Inc.
- Current Assignee Address: US MA Boston
- Agency: Stoel Rives LLP
- Main IPC: G05F1/66
- IPC: G05F1/66 ; H02J3/00 ; H02J3/14 ; H02J3/28 ; H02J3/46 ; H02J7/00 ; G05B13/02 ; G05B13/04 ; G05B17/02 ; G06Q10/06 ; G06Q50/06 ; H02J13/00 ; G01R31/367 ; G01R31/392

Abstract:
The present disclosure is directed to machine learning of electrical power system behavior, and related systems, apparatuses, and methods. A controller of an electrical power system includes a data storage device configured to store model data indicating a model load power consumed by loads of the electrical power system. The controller also includes a processor configured to determine current data including current load power consumed by the loads, modify the model data by aggregating the model data with the current data, and determine a set of control values for a set of control variables to effectuate a change to operation of the electrical power system based, at least in part, on the model data.
Public/Granted literature
- US20170288399A1 MACHINE LEARNING OF ELECTRICAL POWER SYSTEM BEHAVIOR, AND RELATED SYSTEMS, APPARATUSES, AND METHODS Public/Granted day:2017-10-05
Information query
IPC分类: