SYSTEM FOR PROVIDING THERMOSTAT CONFIGURATION GUIDANCE

• US 20190310667A1
• Filed: 11/21/2017
• Published: 10/10/2019
• Est. Priority Date: 11/22/2016
• Status: Active Application

• Current Assignee: Engie North America
• Original Assignee: Engie North America
• Inventors: BROWN, Mark, ELKINS, Joel, LO, Jeremy
• Application Number:
  US16/463,291
• Publication Number:
  US 20190310667A1
• Time in Patent Office: Days
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: G05D 23/1917 using digital means
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: G08B 21/10 responsive to calamitous events, e.g. tornados or earthquakes
• CPC Class Codes: G08B 21/18 Status alarms G08B21/02 takes precedence

Abstract

The disclosed technology relates to log file processing techniques for providing thermostat configuration guidance. A system may be configured to receive, from a load forecast engine, a plurality of load forecasts associated with a thermostat set point schedule and receive, from a user device, a change in the thermostat set point schedule. The system generates a hybrid load forecast by selecting a portion of a first load forecast in the plurality of load forecasts and a portion of a second load forecast in the plurality of the load forecasts based on the change in the change in the thermostat set point schedule. The system calculates a cost for the change in the thermostat set point schedule based on the hybrid load forecast and a fee schedule and provides the user device with the cost for the change in the thermostat set point schedule.

Claims

1. A computer-implemented method comprising:

receiving, from a load forecast engine, a plurality of load forecasts associated with a thermostat set point schedule;

receiving, from a user device, a change in the thermostat set point schedule;

generating a hybrid load forecast by selecting a portion of a first load forecast in the plurality of load forecasts and a portion of a second load forecast in the plurality of the load forecasts based on the change in the change in the thermostat set point schedule;

calculating a usage characteristic cost for the change in the thermostat set point schedule based on the hybrid load forecast and a fee schedule; and

providing the user device with the usage characteristic cost for the change in the thermostat set point schedule.

2. The computer-implemented method of claim 1, wherein the user device is a thermostat.

3. The computer-implemented method of claim 1, wherein the user device is a mobile device.

4. The computer-implemented method of claim 1, further comprising transmitting, to the load forecast engine, at least one of meter data, weather data, property data, interior condition data, or the thermostat set point schedule.

5. The computer-implemented method of claim 1, wherein the plurality of load forecasts associated with the thermostat set point schedule comprises a third load forecast associated with the thermostat set point schedule, the method further comprising:

calculating a cost for the thermostat set point schedule based on the third load forecast and the fee schedule; and

providing the user device with the cost for the thermostat set point schedule.

6. The computer-implemented method of claim 5, further comprising:

generating a comparison between the cost for the thermostat set point schedule and the cost for the change in the thermostat set point schedule; and

providing the user device with the comparison.

7. The computer-implemented method of claim 1, wherein the thermostat set point schedule is a current thermostat set point schedule for a thermostat of a building.

8. The computer-implemented method of claim 1, wherein the thermostat set point schedule comprises a series of target temperature settings over time, and wherein the change in the thermostat set point schedule comprises at least one alteration, for at least one period of time, of a target temperature setting in the series of target temperature settings.

9. A computer-implemented method comprising:

receiving an energy usage history and a thermostat configuration history for a building;

determining, based on the energy usage history and the thermostat configuration history, a relationship between various thermostat configurations and costs;

receiving a selected thermostat configuration for the building;

calculating, based on the selected thermostat configuration and the relationship between the various thermostat configurations and the costs, an estimated bill associated with the selected thermostat configuration; and

providing the estimated bill to a user device.

10. The computer-implemented method of claim 9, wherein the energy usage history comprises time-series data specifying an energy usage for the building over a number of discrete time periods.

11. The computer-implemented method of claim 9, wherein the relationship between the various thermostat configurations and the costs is a model determined using machine-learning techniques.

12. The computer-implemented method of claim 9, wherein the selected thermostat configuration is received from the user device.

13. The computer-implemented method of claim 9, further comprising:

receiving a target bill for the building;

identifying, based on the target bill and the relationship between the various thermostat configurations and the costs, an proposed thermostat configuration for the building; and

provide the proposed thermostat configuration to the user device.

14. The computer-implemented method of claim 13, further comprising:

receiving an acceptance of the proposed thermostat configuration; and

transmitting, to a smart thermostat in the building, instructions to implement the proposed thermostat configuration.

15. The computer-implemented method of claim 13, further comprising:

receive a rejection of the proposed thermostat configuration;

identify, in response to receiving the rejection, a second proposed thermostat configuration; and

provide the second proposed thermostat configuration to the user device.

16. A system comprising:

one or more processors; and

at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the system to;

receive, from a load forecast engine, a plurality of load forecasts associated with a thermostat set point schedule;

receive, from a user device, a change in the thermostat set point schedule;

generate a hybrid load forecast by selecting a portion of a first load forecast in the plurality of load forecasts and a portion of a second load forecast in the plurality of the load forecasts based on the change in the change in the thermostat set point schedule;

calculate a cost for the change in the thermostat set point schedule based on the hybrid load forecast and a fee schedule; and

provide the user device with the cost for the change in the thermostat set point schedule.

17. The system of claim 16, wherein the instructions further cause the system to transmit, to the load forecast engine, at least one of meter data, weather data, property data, interior condition data, or the thermostat set point schedule.

18. The system of claim 16, wherein the plurality of load forecasts associated with the thermostat set point schedule comprises a third load forecast associated with the thermostat set point schedule, and wherein the instructions further cause the system to:

calculate a cost for the thermostat set point schedule based on the third load forecast and the fee schedule; and

provide the user device with the cost for the thermostat set point schedule.

19. The system of claim 16, wherein the instructions further cause the system to:

generate a comparison between the cost for the thermostat set point schedule and the cost for the change in the thermostat set point schedule; and

provide the user device with the comparison.

20. The system of claim 16, wherein the thermostat set point schedule comprises a series of target temperature settings over time, and wherein the change in the thermostat set point schedule comprises at least one alteration, for at least one period of time, of a target temperature setting in the series of target temperature settings.