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Real-time predictive systems for intelligent energy monitoring and management of electrical power networks

  • US 20190332073A1
  • Filed: 07/10/2019
  • Published: 10/31/2019
  • Est. Priority Date: 02/14/2006
  • Status: Active Grant
First Claim
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1. A system for intelligent monitoring and management of an electrical system, comprising:

  • a power analytics server and a data acquisition component in network communication;

    wherein the data acquisition component is configured to acquire real-time data output from the electrical system, wherein the electrical system comprises a plurality of components;

    wherein the power analytics server comprises a virtual system modeling engine, an analytics engine, and a machine learning engine;

    wherein the virtual system modeling engine is configured to generate predicted data output for the electrical system based on a virtual system model of the electrical system, wherein the virtual system model comprises virtual component data corresponding to the plurality of components of the electrical system and relationships between the plurality of components of the electrical system;

    wherein the analytics engine is configured to monitor the real-time data output and the predicted data output of the electrical system and determine a difference between the real-time data output and the predicted data output; and

    wherein the machine learning engine configured to store and process patterns observed from the real-time data output and the predicted data output and forecast an aspect of the electrical system.

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