Invention Grant
- Patent Title: Predictive presence scheduling for a thermostat using machine learning
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Application No.: US16731974Application Date: 2019-12-31
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Publication No.: US11255561B2Publication Date: 2022-02-22
- Inventor: Sridhar Venkatesh , Payam Delgoshaei , Janathkumar Manohararaj
- Applicant: Lennox Industries Inc.
- Applicant Address: US TX Richardson
- Assignee: Lennox Industries Inc.
- Current Assignee: Lennox Industries Inc.
- Current Assignee Address: US TX Richardson
- Agency: Baker Botts L.L.P.
- Main IPC: F24F11/46
- IPC: F24F11/46 ; G05B13/02 ; F24F11/64 ; F24F11/65 ; F24F140/60 ; F24F110/10 ; F24F120/12 ; F24F130/10 ; F24F140/50

Abstract:
A heating, ventilation, and air conditioning (HVAC) control device configured to generate the machine learning model using the first set of weights and the second set of weights. The machine learning model is configured to output a probability that a user is present at the space based on an input that identifies a day of the week and a time of a day. The device is further configured to determine a probability that a user is present at the space for a predicted occupancy schedule using the machine learning model, to determine an occupancy status based on a determined probability that a user is present at the space, and to set a predicted occupancy status in the predicted occupancy schedule based on a determined occupancy status for each time entry. The device is further configured to output the predicted occupancy schedule.
Public/Granted literature
- US20210199327A1 PREDICTIVE PRESENCE SCHEDULING FOR A THERMOSTAT USING MACHINE LEARNING Public/Granted day:2021-07-01
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