Patents by Inventor Michael Raymond GRANT

Michael Raymond GRANT 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).

  • PREDICTED FORECAST OFFSET FROM REMOTE LOCATION SENSOR
    Publication number: 20230244965
    Abstract: A computing system configured to execute a predictive program is provided. The predictive program, in a run-time phase, receives a current value for a remotely sourced forecast as run-time input into an artificial intelligence model. The artificial intelligence model has been trained on training data including a time series of locally sourced measurements for a parameter and a time series of remotely sourced forecast data for the parameter. The predictive program outputs a predicted forecast offset between the current value of a remotely sourced forecast and a future locally sourced measurement for the parameter. The predictive program outputs from the artificial intelligence model a predicted forecast offset based on the run-time input.
    Type: Application
    Filed: April 10, 2023
    Publication date: August 3, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Peeyush KUMAR, Ranveer CHANDRA, Chetan BANSAL, Dang Khoa TRAN, Emmanuel AZUH MENSAH, Michael Raymond GRANT
  • Predicted forecast offset from remote location sensor
    Patent number: 11625627
    Abstract: A computing system configured to execute a predictive program is provided. The predictive program, in a run-time phase, receives a current value for a remotely sourced forecast as run-time input into an artificial intelligence model. The artificial intelligence model has been trained on training data including a time series of locally sourced measurements for a parameter and a time series of remotely sourced forecast data for the parameter. The predictive program outputs a predicted forecast offset between the current value of a remotely sourced forecast and a future locally sourced measurement for the parameter. The predictive program outputs from the artificial intelligence model a predicted forecast offset based on the run-time input.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: April 11, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Dang Khoa Tran, Emmanuel Azuh Mensah, Michael Raymond Grant
  • PREDICTED FORECAST OFFSET FROM REMOTE LOCATION SENSOR
    Publication number: 20210326723
    Abstract: A computing system configured to execute a predictive program is provided. The predictive program, in a run-time phase, receives a current value for a remotely sourced forecast as run-time input into an artificial intelligence model. The artificial intelligence model has been trained on training data including a time series of locally sourced measurements for a parameter and a time series of remotely sourced forecast data for the parameter. The predictive program outputs a predicted forecast offset between the current value of a remotely sourced forecast and a future locally sourced measurement for the parameter. The predictive program outputs from the artificial intelligence model a predicted forecast offset based on the run-time input.
    Type: Application
    Filed: June 30, 2020
    Publication date: October 21, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Peeyush KUMAR, Ranveer CHANDRA, Chetan BANSAL, Dang Khoa TRAN, Emmanuel AZUH MENSAH, Michael Raymond GRANT