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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.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
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.
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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.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
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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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.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
IPC: F24F11/47 , F24F11/52 , F24F11/64 , F24F11/80 , F24F110/10 , F24F120/00 , F24F140/50 , F24F140/60
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.
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公开(公告)号:US11802707B2
公开(公告)日:2023-10-31
申请号:US17493717
申请日:2021-10-04
Applicant: Uplight, Inc.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
IPC: F24F11/47 , F24F11/52 , F24F11/64 , F24F11/80 , F24F140/60 , F24F110/10 , F24F120/00 , F24F140/50
CPC classification number: F24F11/47 , F24F11/52 , F24F11/64 , F24F11/80 , F24F2110/10 , F24F2120/00 , F24F2140/50 , 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.
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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.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
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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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.
Inventor: Adriana Knatchbull-Hugessen , Brett Feldman , Taylor Names
IPC: F24F11/47 , F24F11/52 , F24F11/64 , F24F11/80 , F24F140/60 , F24F110/10 , F24F120/00 , F24F140/50
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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