Real-time predictive systems for intelligent energy monitoring and management of electrical power networks
First Claim
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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Accused Products
Abstract
A system for intelligent monitoring and management of an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics server is comprised of a real-time energy pricing engine, virtual system modeling engine, an analytics engine, a machine learning engine and a schematic user interface creator engine. The real-time energy pricing engine generates real-time utility power pricing data. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-time data output and predicted data output of the electrical system. The machine learning engine stores and processes patterns observed from the real-time data output and the predicted data output to forecast an aspect of the electrical system.
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Citations
20 Claims
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1. A system for intelligent monitoring and management of an electrical system, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method for intelligent monitoring and management of an electrical system, comprising:
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providing a power analytics server and a data acquisition component in network communication, wherein the power analytics server comprises a virtual system modeling engine, an analytics engine, and a machine learning engine; the data acquisition component acquiring real-time data output from the electrical system, wherein the electrical system comprises a plurality of components; the virtual system modeling engine generating 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; the analytics engine monitoring the real-time data output and the predicted data output of the electrical system and determining a difference between the real-time data output and the predicted data output; the machine learning engine storing and processing patterns observed from the real-time data output and the predicted data output; and the machine learning engine forecasting an aspect of the electrical system based on the patterns observed from the real-time data output and the predicted data output. - View Dependent Claims (18, 19, 20)
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Specification