ADAPTIVE THERMAL COMFORT LEARNING FOR OPTIMIZED HVAC CONTROL

    公开(公告)号:US20240125502A1

    公开(公告)日:2024-04-18

    申请号:US18494649

    申请日:2023-10-25

    Applicant: Uplight, Inc.

    CPC classification number: F24F11/47 F24F11/52 F24F11/64 F24F11/80 F24F2140/60

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

    ADAPTIVE THERMAL COMFORT LEARNING FOR OPTIMIZED HVAC CONTROL

    公开(公告)号:US20210025613A1

    公开(公告)日:2021-01-28

    申请号:US16936314

    申请日:2020-07-22

    Applicant: Uplight, Inc.

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

    Adaptive thermal comfort learning for optimized HVAC control

    公开(公告)号:US12163682B2

    公开(公告)日:2024-12-10

    申请号:US18494649

    申请日:2023-10-25

    Applicant: Uplight, Inc.

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

    ADAPTIVE THERMAL COMFORT LEARNING FOR OPTIMIZED HVAC CONTROL

    公开(公告)号:US20220170655A1

    公开(公告)日:2022-06-02

    申请号:US17493717

    申请日:2021-10-04

    Applicant: Uplight, Inc.

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

    Adaptive thermal comfort learning for optimized HVAC control

    公开(公告)号:US11149975B2

    公开(公告)日:2021-10-19

    申请号:US16936314

    申请日:2020-07-22

    Applicant: Uplight, Inc.

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

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