Patents by Inventor Brandon Thayer

Brandon Thayer 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).

  • Optimal power flow control via dynamic power flow modeling
    Patent number: 11575263
    Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: February 7, 2023
    Assignee: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Brandon Thayer
  • OPTIMAL POWER FLOW CONTROL VIA DYNAMIC POWER FLOW MODELING
    Publication number: 20220294217
    Abstract: Systems and methods are directed to controlling components of a utility grid. The system can receive data samples including signals detected at one or more portions of a utility grid. The system can construct a matrix having a first dimension and a second dimension. The system can train a machine learning model based on the matrix to predict values for signals of the utility grid not provided in the matrix. The system can receive bounds for one or more input variables, constraints on one or more output variables, and a performance objective for the utility grid. The system can determine, based on the machine learning model and via an optimization technique, an adjustment to a component of the utility grid that satisfies the performance objective. The system can provide the adjustment to the component of the utility grid to satisfy the performance objective.
    Type: Application
    Filed: March 12, 2021
    Publication date: September 15, 2022
    Applicant: Utilidata, Inc.
    Inventors: Taylor Spalt, Ning Li, Marissa Hummon, Brandon Thayer