Business management system and method for a deregulated electric power market with sharing of supply chain data

• US 6,778,882 B2
• Filed: 05/10/2002
• Issued: 08/17/2004
• Est. Priority Date: 05/10/2001
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Westinghouse Power Corporation
• Inventors: Hasling, William, Spool, Peter R., Soni, Dilip, Masticola, Stephen, Landi, William
• Primary Examiner(s): Gandhi, Jayprakash N.
• Application Number:
  US10/142,626
• Publication Number:
  US 20030041037A1
• Time in Patent Office: 830 Days
• Field of Search: 700/286, 700/291, 700/295, 700/296, 700/297, 702/57, 702/60, 702/61
• US Class Current: 700/295
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/188 Electronic negotiation
• CPC Class Codes: H02J 3/008 involving trading of energy or energy transmission rights
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y04S 20/20 End-user application control systems
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid
• CPC Class Codes: Y04S 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
• CPC Class Codes: Y04S 50/16 Energy services, e.g. dispersed generation or demand or load or energy savings aggregation

Abstract

A business management method for trading in load estimations with interaction between an electrical energy supplier and a plurality of customer energy consumers, comprises the steps of: grouping the plurality of customers into respective customer circles such that each circle comprises a number of customers engaged in similar activities; developing respective load profiles for each of the customer circles for a predetermined period past; inputting the respective load profiles to an aggregate load profile estimator for providing an aggregate load estimate; and trading in the load estimate. The method is likewise applicable to other commodities such as a water supply, fuel gas supply, or the like.

Claims

1. A business management method for trading in load estimations with interaction between an electrical energy supplier and a plurality of customer energy consumers, said method comprising the steps of:

grouping said plurality of customers into respective customer circles such that each circle comprises a number of customers engaged in similar activities;

developing respective load profiles for each of said customer circles for a predetermined period past;

inputting said respective load profiles to an aggregate load profile estimator for providing an aggregate load estimate; and

trading in said load estimate.

2. A business management method for load estimation as recited in claim 1, comprising a step of trading in said aggregate load estimate confidentially between sender and recipient.

3. A business management method for load estimation as recited in claim 1, comprising a step of trading in said aggregate load estimate within a customer circle of said respective customer circles.

4. A business management method for load estimation as recited in claim 1, comprising a step of trading in said aggregate load estimate with electrical energy suppliers.

5. A business management method for load estimation as recited in claim 1, comprising a step of trading in said aggregate load estimate with any of electric power distribution companies, power generation companies, brokers, and suppliers.

6. A business management method for load estimation as recited in claim 5, comprising a step of inputting risk parameters to said aggregate load profile estimator for use in providing said aggregate load estimate.

7. A business management method for load estimation as recited in claim 6, wherein said step of inputting risk parameters to said aggregate load profile estimator comprises a step of inputting variance.

8. A business management method for load estimation as recited in claim 1, wherein said step of developing respective load profiles comprises a step of using historical meter data.

9. A business management method for load estimation as recited in claim 8, wherein said step of using historical meter data comprises a step of remotely acquiring said meter data.

10. A business management method for load estimation as recited in claim 1, wherein said predetermined period past is in the order of a month.

11. A business management method for load estimation with interaction between an electrical energy supplier and a plurality of customer energy consumers, said method comprising the steps of:

grouping said plurality of customers into respective customer circles such that each circle comprises a number of customers engaged in similar activities;

developing respective historical load profiles for each of said customer circles for a predetermined period past;

inputting said respective load historical profiles to an aggregate load profile estimator;

inputting near past load profiles to said aggregate load profile estimator, said near past being recent as compared with said predetermined period past;

providing an aggregate load estimate by said aggregate load profile estimator utilizing said historical load profiles and said near past load profiles; and

trading in said aggregate load estimate.

12. A business management method for load estimation as recited in claim 11, comprising a step of trading in said aggregate load estimate confidentially between sender and recipient.

13. A business management method for load estimation as recited in claim 11, comprising a step of trading in said aggregate load estimate within a customer circle of said respective customer circles.

14. A business management method for load estimation as recited in claim 11, comprising a step of trading in said aggregate load estimate with any of electric power distribution companies, power generation companies, brokers, and suppliers.

15. A business management method for load estimation as recited in claim 11, comprising a step of inputting risk parameters to said aggregate load profile estimator for use in providing said aggregate load estimate.

16. A business management method for load estimation as recited in claim 11, comprising a step of inputting weather data to said aggregate load profile estimator for use in providing said aggregate load estimate.

17. A business management method for load estimation as recited in claim 11, comprising a step of inputting the current calendar date to said aggregate load profile estimator for use in providing said aggregate load estimate.

18. A business management method for load estimation as recited in claim 11, comprising a step of inputting risk parameters, weather data, and the current calendar date to said aggregate load profile estimator for use in providing said aggregate load estimate.

19. A business management method for load estimation as recited in claim 18, wherein said step of inputting risk parameters to said aggregate load profile estimator comprises a step of inputting variance.

20. A business management method for load estimation as recited in claim 11, wherein said step of developing respective load profiles comprises a step of using historical meter data.

21. A business management method for load estimation as recited in claim 20, wherein said step of using historical meter data comprises a step of remotely acquiring said meter data.

22. A business management method for load estimation as recited in claim 11, wherein said step of developing respective inputting near past load profiles comprises a step of using current meter data.

23. A business management method for load estimation as recited in claim 22, wherein said step of using current meter data comprises a step of remotely acquiring said meter data.

24. A business management method for load estimation as recited in claim 11, wherein said predetermined period past is in the order of a month.

25. A business management method for load estimation as recited in claim 11, comprising a step of trading in said aggregate load estimate with electrical energy suppliers.