UTILIZATION OF COUPONS IN RESIDENTIAL DEMAND RESPONSE

• US 20160225006A1
• Filed: 01/30/2015
• Published: 08/04/2016
• Est. Priority Date: 01/30/2015
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: CHEN, Wei-Peng
• Application Number:
  US14/610,929
• Publication Number:
  US 20160225006A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0224 based on user history
• CPC Class Codes: G06Q 30/0235 constrained by time limit or expiration date
• CPC Class Codes: G06Q 30/0236 Incentive or reward received by requiring registration or ID from user

Abstract

A method includes determining user interests associated with a user. The method includes receiving multiple offers from multiple merchants that each include a purchase incentive to purchase a good or service and a category of interest associated with the good or service. The method includes identifying a match between the user and an offer from the multiple offers, including matching the user interests associated with the user to the category of interest associated with the good or service. The method includes determining a time period associated with a demand response event. The method includes generating a coupon for the user that includes the offer and a performance bonus that provides a performance incentive to redeem the coupon at a specified physical location during the time period associated with the demand response event. The method includes providing the coupon to the user for redemption at the specified physical location.

Claims

1. A method to manage resource usage for a demand response event, the method comprising:

determining one or more user interests associated with a user;

receiving multiple offers from multiple merchants that each include a purchase incentive to purchase a good or service and a category of interest associated with the good or service;

identifying a match between the user and an offer from the multiple offers, including matching the one or more user interests associated with the user to the category of interest associated with the good or service;

determining a time period associated with a demand response event during which an aggregate resource consumption is to be reduced;

generating a coupon for the user that includes the offer and a performance bonus that provides a performance incentive to redeem the coupon at a specified physical location during the time period associated with the demand response event; and

providing the coupon to the user for redemption at the specified physical location, redemption of the coupon at the specified physical location by the user causes a reduction in resource consumption at a residential location associated with the user.

2. The method of claim 1, wherein the coupon further includes a sign-up bonus that provides a sign-up incentive to agree to redeem the coupon during the time period associated with the demand response event.

3. The method of claim 2, further comprising:

receiving an indication from the user that the user agrees to redeem the coupon during the time period associated with the demand response event; and

notifying a merchant associated with the offer that the user agreed to redeem the coupon during the time period associated with the demand response event.

4. The method of claim 1, further comprising receiving the one or more user interests from the user to determine the one or more user interests associated with the user.

5. The method of claim 1, further comprising:

determining a user location associated with the user;

determining store locations associated with the multiple merchants; and

identifying a subset of merchants with store locations that are within a threshold range of distances from the user location.

6. The method of claim 5, further comprising:

filtering the multiple offers from the multiple merchants to narrow the multiple offers to filtered offers from the subset of merchants with store locations that are within the threshold range of distances from the user location;

wherein identifying the match between the offer from the multiple offers and the user comprises identifying the match between the offer from the filtered offers and the user; and

wherein the coupon further includes an emergency bonus that provides an emergency incentive to redeem within a shortened time period.

7. The method of claim 1, further comprising receiving information from the user about one or more of an address associated with the user, shopping preferences, and an interest in a type of coupon.

8. A non-transitory computer-readable medium that includes computer-readable instructions stored thereon that are executable by a processor to perform or control performance of operations comprising:

determining one or more user interests associated with a user;

receiving multiple offers from multiple merchants that each include a purchase incentive to purchase a good or service and a category of interest associated with the good or service;

identifying a match between the user and an offer from the multiple offers, including matching the one or more user interests associated with the user to the category of interest associated with the good or service;

determining a time period associated with a demand response event during which an aggregate resource consumption is to be reduced;

generating a coupon for the user that includes the offer and a performance bonus that provides a performance incentive to redeem the coupon at a specified physical location during the time period associated with the demand response event; and

providing the coupon to the user for redemption at the specified physical location, redemption of the coupon at the specified physical location by the user causes a reduction in resource consumption at a residential location associated with the user.

9. The non-transitory computer-readable medium of claim 8, wherein the coupon further includes a sign-up bonus that provides a sign-up incentive to agree to redeem the coupon during the time period associated with the demand response event.

10. A method to bid for a resource based on a demand response event, the method comprising:

determining a target cost and a target resource curtailment associated with a demand response event;

receiving multiple offers from merchants;

determining a likelihood that each of multiple users will redeem a coupon that includes one or more of the multiple offers from merchants at a specified physical location during a time period associated with the demand response event;

generating and providing a set of coupons to a subset of the multiple users based on the target cost, the target resource curtailment, and the likelihood that each of the multiple users will redeem the coupon, redemption of one or more coupons in the set of coupons at the specified physical location by one or more of the multiple users causing a reduction in resource consumption at one or more residential locations associated with the one or more of the multiple users;

estimating an aggregated curtailment of the resource based on the subset of the multiple users that receive the coupons; and

bidding for the resource on a day-ahead market by providing an offer price and a quantity for the resource based on the aggregated curtailment.

11. The method of claim 10, further comprising:

determining parameters of a supply curve to maximize a profit based on the aggregated curtailment of the resource; and

wherein the offer price and the quantity for the resource are based on the profit.

12. The method of claim 11, wherein determining the profit comprises:

determining a resource credit that includes a price of purchasing the resource from the day-ahead market multiplied by a clearing demand for a submitted DR bidding; and

subtracting from the resource credit a price for a demand response incentive.

13. The method of claim 12, wherein determining the profit is based on generating a supply curve to determine the offer price and the quantity for the resource.

14. The method of claim 12, wherein determining the profit comprises modeling a day-ahead price forecast on the day-ahead market and a real-time price forecast on a real-time market as probabilistic functions, each with a cumulative distribution function.

15. The method of claim 10, wherein each coupon includes an offer and a performance bonus that provides a performance incentive to redeem the coupon at the specified physical location during the time period associated with the demand response event.

16. The method of claim 10, further comprising:

updating the target cost and the target resource based on new information;

generating and providing an additional set of coupons to an additional subset of the multiple users based on the updated target cost, the updated target resource curtailment, and the likelihood that each of the multiple users will redeem the coupon; and

bidding for the resource on an hour-ahead market by providing the updated target cost and the updated target resource curtailment.

17. The method of claim 10, wherein determining the likelihood that each of the multiple users will redeem the coupon at the specified physical location during the time period associated with the demand response event is based on an interest specified by each of the users.

18. The method of claim 10, wherein estimating the aggregated curtailment of the resource based on the subset of the multiple users receiving the coupons includes determining a sum of the likelihood that each of the users in the subset of multiple users will redeem the coupon multiplied by a load reduction for each of the users in the subset of multiple users.

19. The method of claim 18, wherein determining the load reduction is based on determining types of appliances at each residential location of the users and resource consumption associated with the types of appliances at each residential location of the multiple users receiving the coupons.

20. The method of claim 18, wherein the likelihood that each of the users in the subset of multiple users will redeem the coupon and the load reduction for each of the users in the subset of multiple users are independent variables.