Invention Grant
- Patent Title: Predictive temperature scheduling for a thermostat using machine learning
-
Application No.: US17655960Application Date: 2022-03-22
-
Publication No.: US11940165B2Publication Date: 2024-03-26
- 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: F24F11/64
- IPC: F24F11/64 ; F24F11/46 ; F24F11/65 ; G05B13/02 ; G05B13/04 ; F24F110/10 ; F24F120/10 ; F24F120/12 ; F24F140/50 ; F24F140/60

Abstract:
A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.
Public/Granted literature
- US20220214065A1 PREDICTIVE TEMPERATURE SCHEDULING FOR A THERMOSTAT USING MACHINE LEARNING Public/Granted day:2022-07-07
Information query