Invention Grant
- Patent Title: Predicted forecast offset from remote location sensor
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Application No.: US16917702Application Date: 2020-06-30
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Publication No.: US11625627B2Publication Date: 2023-04-11
- Inventor: Peeyush Kumar , Ranveer Chandra , Chetan Bansal , Dang Khoa Tran , Emmanuel Azuh Mensah , Michael Raymond Grant
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Alleman Hall Creasman & Tuttle LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00 ; G01W1/10

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.
Public/Granted literature
- US20210326723A1 PREDICTED FORECAST OFFSET FROM REMOTE LOCATION SENSOR Public/Granted day:2021-10-21
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