BEHAVIORAL DEMAND RESPONSE DISPATCH

• US 20150227846A1
• Filed: 12/23/2014
• Published: 08/13/2015
• Est. Priority Date: 02/07/2014
• Status: Active Grant

• Current Assignee: Opower, Inc. (Oracle Corporation)
• Original Assignee: Opower, Inc. (Oracle Corporation)
• Inventors: Mercer, Tom, Orfei, Alessandro, Boonin, Elisabeth
• Granted Patent: US 10,037,014 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05B 19/048 Monitoring; Safety
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

The subject disclosure relates to computer-implemented methods that include steps for receiving a reduction request, the reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced, receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request, and determining, using a behavioral demand dispatch (BDD) model, one or more target users from among the set of consumers. In certain aspects, the steps can further include providing a demand reduction communication to each of the one or more target users. Systems and computer readable media are also provided.

Claims

1. A computer-implemented method comprising:

receiving a reduction request, the reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced;

receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request;

determining, using a behavioral demand dispatch (BDD) model, one or more target users from among the set of consumers; and

providing a demand reduction communication to each of the one or more target users.

2. The computer-implemented method of claim 1, further comprising:

measuring a reduction amount for the consumable resource, wherein the reduction amount is based on a behavior performed by the one or more target users in response to the demand reduction communication.

3. The computer-implemented method of claim 1, further comprising:

selecting, using the BDD model, a communication channel for each of the one or more target users; and

selecting, using the BDD model, a content type for each of the one or more target users.

4. The computer-implemented method of claim 3, wherein the demand reduction communication is provided using the respective communication channel for each of the one or more target users, and wherein each demand reduction communication is based on the content type for each of the one or more respective target users.

5. The computer-implemented method of claim 1, wherein the demand reduction communication provided to each of the one or more target users is based on geographic location information for each of the one or more target users.

6. The computer-implemented method of claim 1, wherein the demand reduction communication provided to each of the one or more target users is based on demographic information.

7. The computer-implemented method of claim 1, wherein the BDD model is based at least in part on historic weather data for a geographic region associated with at least one of the target users.

8. A behavioral demand response dispatch system, comprising:

one or more processors; and

a computer-readable medium comprising instructions stored therein, which when executed by the processors, cause the processors to perform operations comprising;

receiving a reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced;

receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request;

receiving preference information associated with one or more users from among the set of consumers associated with the reduction request; and

providing, using a behavioral demand dispatch (BDD) model, a demand reduction communication to one or more target users from among the set of consumers associated with the reduction request.

9. The behavioral demand response dispatch system of claim 8, wherein the processors are further configured to perform operations comprising:

measuring a reduction amount for the consumable resource, wherein the reduction amount is based on a behavior performed by a plurality of the target users.

10. The behavioral demand response dispatch system of claim 8, wherein the processors are further configured to perform operations comprising:

selecting a communication channel for the demand reduction communication, based on the preference information associated with one or more users.

11. The behavioral demand response dispatch system of claim 8, wherein the processors are further configured to perform operations comprising:

selecting a content type for the demand reduction communication, based on the preference information associated with one or more users.

12. The behavioral demand response dispatch system of claim 8, wherein the demand reduction communication provided to each of the one or more target users is based on geographic location information for each of the one or more target users.

13. The behavioral demand response dispatch system of claim 8, wherein the BDD model is based at least in part on historic weather data for a geographic region associated with at least one of the target users.

14. A computer-readable storage medium comprising instructions stored therein, which when executed by one or more processors, cause the processors to perform operations comprising:

receiving a reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced;

receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request;

receiving preference information associated with one or more users from among the set of consumers associated with the reduction request; and

providing, using a behavioral demand dispatch (BDD) model, a demand reduction communication to one or more target users.

15. The computer-readable storage medium of claim 14, wherein the processors are further configured to perform operations comprising:

measuring a reduction amount for the consumable resource, wherein the reduction amount is based on a behavior performed by a plurality of the target users.

16. The computer-readable storage medium of claim 14, wherein the processors are further configured to perform operations comprising:

selecting a communication channel for the demand reduction communication, based on the preference information associated with one or more users.

17. The computer-readable storage medium of claim 14, wherein the processors are further configured to perform operations comprising:

selecting a content type for the demand reduction communication, based on the preference information associated with one or more users.

18. The computer-readable storage medium of claim 14, wherein the demand reduction communication provided to each of the one or more target users is based on geographic location information for each of the one or more target users.

19. The computer-readable storage medium of claim 14, wherein the BDD model is based at least in part on historic weather data for a geographic region associated with at least one of the target users.

20. The computer-readable storage medium of claim 14, wherein the processors are further configured to perform operations comprising:

formulating the demand reduction communication using the BDD model, wherein the demand reduction communication is based on the preference information.