Patents by Inventor Lobsang Lama

Lobsang Lama has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11709470
    Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.
    Type: Grant
    Filed: August 13, 2021
    Date of Patent: July 25, 2023
    Assignee: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
  • Publication number: 20210373518
    Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.
    Type: Application
    Filed: August 13, 2021
    Publication date: December 2, 2021
    Applicant: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
  • Patent number: 11099537
    Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: August 24, 2021
    Assignee: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama
  • Publication number: 20200409323
    Abstract: Systems and methods are directed controlling components of a utility grid. The system can receive signals. The system can determine one or more statistical metrics based on the signals. The system can generate an input matrix. The system can input the input matrix into a machine learning model. The system can predict, based on the input matrix and via the machine learning model, the value for the signal of the utility grid at a time period for which the value is not provided in the input matrix. The system can provide a command to control a component of the utility grid responsive to the value for the signal of the utility grid predicted by the machine learning model.
    Type: Application
    Filed: July 30, 2019
    Publication date: December 31, 2020
    Applicant: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Lobsang Lama