SYSTEM, METHOD AND APPARATUS TO FORECAST ENERGY DEMAND FROM PAYMENT DATA SUMMARY

• US 20160125485A1
• Filed: 11/04/2014
• Published: 05/05/2016
• Est. Priority Date: 11/04/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Howe, Justin Xavier
• Application Number:
  US14/532,486
• Publication Number:
  US 20160125485A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

A system, method, and computer-readable storage medium to forecast energy demand from payment data.

Claims

1. A method comprising:

receiving, with a network interface, a request for a utility forecast from a utility service, the request specifying a region and a time period for the utility forecast;

parsing, with a processor, a plurality of payment card transaction data or travel transaction data from a Global Distribution System (GDS) to determine an absent household, the payment card transaction or travel transaction data being associated with a cardholder that resides within the specified region, the payment card transaction or travel transaction data containing a travel itinerary, the travel itinerary including a travel time period;

determining, with the processor, a number of the absent households during at least part of the time period based on the travel time period;

for each of the absent households, retrieving past utility usage from a non-transitory computer-readable medium;

for each of the absent households, calculating with the processor a reduction in utility demand based on the travel time period;

aggregating, with the processor, a total utility demand forecast based on the reduction in utility demand;

reporting, with the network interface, the total utility demand forecast to the utility service.

2. The processing method of claim 1, wherein the payment card transaction data includes geo-location data inferred from authorization data.

3. The processing method of claim 1, further comprising:

determining, with the processor, a number of individuals absent from an absent household during at least part of the time period based on the travel time period.

4. The processing method of claim 3, wherein the calculating with the processor a reduction in utility demand based on the travel time period further factors the number of individuals absent from the absent household.

5. The processing method of claim 4, wherein travel time period is specified by a date range, hour, day, week, month, quarter or year.

6. The processing method of claim 5, wherein the utility service is an electrical utility service.

7. The processing method of claim 5, wherein the utility service is a water utility service.

8. A system comprising:

a network interface configured to receive a request for a utility forecast from a utility service, the request specifying a region and a time period for the utility forecast;

a processor configured to parse a plurality of payment card transaction data or travel transaction data from a Global Distribution System (GDS) to determine an absent household, the payment card transaction or travel transaction data being associated with a cardholder that resides within the specified region, the payment card transaction or travel transaction data containing a travel itinerary, the travel itinerary including a travel time period, to determine a number of the absent households during at least part of the time period based on the travel time period, for each of the absent households to retrieve past utility usage from a non-transitory computer-readable medium, for each of the absent households to calculate a reduction in utility demand based on the travel time period, to aggregate a total utility demand forecast based on the reduction in utility demand;

the network interface is further configured to report the total utility demand forecast to the utility service.

9. The system of claim 8, wherein the payment card transaction data includes geo-location data inferred from authorization data.

10. The system of claim 8, further comprising:

determining, with the processor, a number of individuals absent from an absent household during at least part of the time period based on the travel time period.

11. The system of claim 10, wherein the calculating with the processor a reduction in utility demand based on the travel time period further factors the number of individuals absent from the absent household.

12. The system of claim 11, wherein travel time period is specified by a date range, hour, day, week, month, quarter or year.

13. The system of claim 12, wherein the utility service is an electrical utility service.

14. The system of claim 12, wherein the utility service is a water utility service.

15. A non-transitory computer readable medium encoded with data and instructions, when executed by a computing device the instructions causing the computing device to:

receive, with a network interface, a request for a utility forecast from a utility service, the request specifying a region and a time period for the utility forecast;

parse, with a processor, a plurality of payment card transaction data or travel transaction data from a Global Distribution System (GDS) to determine an absent household, the payment card transaction or travel transaction data being associated with a cardholder that resides within the specified region, the payment card transaction or travel transaction data containing a travel itinerary, the travel itinerary including a travel time period;

determine, with the processor, a number of the absent households during at least part of the time period based on the travel time period;

for each of the absent households, retrieve past utility usage from the non-transitory computer-readable medium;

for each of the absent households, calculate with the processor a reduction in utility demand based on the travel time period;

aggregate, with the processor, a total utility demand forecast based on the reduction in utility demand;

report, with the network interface, the total utility demand forecast to the utility service.

16. The non-transitory computer readable medium of claim 15, wherein the payment card transaction data includes geo-location data inferred from authorization data.

17. The non-transitory computer readable medium of claim 15, wherein the instructions further causes the computing device to:

determine, with the processor, a number of individuals absent from an absent household during at least part of the time period based on the travel time period.

18. The non-transitory computer readable medium of claim 17, wherein the calculating with the processor a reduction in utility demand based on the travel time period further factors the number of individuals absent from the absent household.

19. The non-transitory computer readable medium of claim 18, wherein travel time period is specified by a date range, hour, day, week, month, quarter or year.

20. The non-transitory computer readable medium of claim 19, wherein the utility service is an electrical utility service.