EP3486743A2

Energy efficiency promoting schedule learning algorithms for intelligent thermostat

Abstract

A user-friendly programmable thermostat is described that includes receiving an immediate-control input to change set point temperature, controlling temperature according to the set point temperature for a predetermined time interval, and then automatically resetting the set point temperature upon the ending of the predetermined time interval such that the user is urged to make further immediate-control inputs. A schedule for the programmable thermostat is automatically generated based on the immediate-control inputs. Methods are also described for receiving user input relating to the user's preference regarding automatically generating a schedule, and determining whether or not to automatically adopt an automatically generated schedule based on the received user input.

EP3486743A2, drawing sheet 1
Sheet 1 of 14

Term

6.1 yearsto projected expiry

Projected expiry 19 October 2032, counted from filing; an application has no term until it is granted.

  1. Priority and filed
  2. Published
  3. Today
  4. Projected expiry

14 claims: 3 independent, 11 dependent

  1. 1
    A method for HVAC control schedule learning, comprising:receiving, over a learning period of time, a population of immediate-control inputs, each immediate-control input of the population being received to change a current setpoint temperature used by a thermostat to control operation of an HVAC system;upon receipt of each of said immediate-control input: operating, by the thermostat, the HVAC system according to the temperature defined by that immediate-control input until an expiration of that immediate-control input after a first predetermined time interval;and upon the expiration of the immediate-control input, performing a setback event in which the thermostat operates the HVAC system at a predetermined lower energy setpoint temperature until such time as a next immediate-control input is received, thereby producing a population of setback events over the learning period;and after the learning period of time, generating a learned HVAC schedule by processing the population of immediate-control inputs in conjunction with the population of the setback events.
  2. 10
    A thermostat that performs HVAC control schedule learning, the thermostat comprising:one or more temperature sensors;a user interface for receiving input from one or more users;control circuitry electrically connected with an HVAC system, wherein the control circuitry allows the thermostat to control operation of the HVAC system;one or more processors that communicate with the one or more temperature sensors, the user interface, and the control circuitry;and a processor-readable medium communicatively coupled with and readable by the one or more processors and having stored therein processor-readable instructions which, when executed by the one or more processors, cause the one or more processors to perform a method according to any of claims 1 to 9.
  3. 14
    A non-transitory processor-readable medium for HVAC control schedule learning, comprising processor-readable instructions configured to cause one or more processors to perform a method according to any of claims 1 to 9.