Power profile management method and system

• US 8,543,247 B2
• Filed: 01/08/2010
• Issued: 09/24/2013
• Est. Priority Date: 01/08/2010
• Status: Expired due to Fees

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Boss, Gregory Jensen, Hamilton, Rick Allen II, Haugh, Julianne Frances, Sand, Anne R.
• Primary Examiner(s): VON BUHR, MARIA N
• Application Number:
  US12/684,151
• Publication Number:
  US 20110172836A1
• Time in Patent Office: 1,355 Days
• Field of Search: 700/22, 700 28- 31, 700/44, 700 47- 52, 700/286, 700/291, 700295-297, 702 60- 62, 705 729- 737, 705/412
• US Class Current: 700/291
• CPC Class Codes: G01D 4/00 Tariff metering apparatus in taximeters G07B13/00; apparatus actuated by coins, cards or the like with meter-controlled dispensing of liquid, gas, or electricity G07F15/00
• CPC Class Codes: G05B 19/0428 Safety, monitoring G05B19/0423 takes precedence
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H04L 12/00 Data switching networks interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units G06F13/00
• CPC Class Codes: H04L 12/10 Current supply arrangements
• 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: 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
• CPC Class Codes: Y04S 20/242 Home appliances

Abstract

A power profile management method and system. The method includes retrieving by a computer processor input data associated with a user of power consumption devices at a specified location. The computer processor retrieves power consumption data comprising power consumption levels for the power consumption devices. The computer processor generates and transmits a mobile usage portfolio associated said user and the power consumption devices. The computer processor generates a load usage prediction report associated with the user and the power consumption devices. The load usage prediction report is generated based on the mobile usage portfolio and said power consumption data. The computer processor transmits the load usage prediction report to a power provider utility for analysis.

Claims

1. A power usage prediction method comprising:

retrieving, by a computer processor of a mobile computing system, first input data associated with a first user of a first plurality of power consumption devices at a first specified location, wherein said first input data comprises location data indicating a current location of said first user, and wherein said current location differs from said first specified location;

retrieving, by said computer processor, first power consumption data comprising a power consumption level for each power consumption device of said first plurality of power consumption devices;

generating, by said computer processor based on said first input data, a first mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location, said first mobile usage portfolio;

monitoring, by said computer processor, usage of plumbing fixtures at said first specified location;

determining, by said computer processor based on results of said monitoring, a plumbing usage deviation value indicating that at least one plumbing fixture of said plumbing fixtures has not been used for a specified time period;

generating, by said computer processor based on said first mobile usage portfolio, said plumbing usage deviation value, and said first power consumption data, a first load usage prediction report associated with said first user and said first plurality of power consumption devices; and

transmitting, by said computer processor to a power provider utility for analysis, said first load usage prediction report.

2. The method of claim 1, further comprising:

transmitting, by said computer processor to said first specified location, said first load usage prediction report.

3. The method of claim 1, further comprising:

retrieving, by said computer processor, second input data associated with said first user, wherein said second input data is associated with a second plurality of power consumption devices used by said first user at a second specified location, wherein said second specified location differs from said first specified location;

retrieving, by said computer processor, second power consumption data comprising a power consumption level for each power consumption device of said second plurality of power consumption devices;

generating, by said computer processor based on said second input data and said first mobile usage portfolio, a second mobile usage portfolio associated said first user and said second plurality of power consumption devices;

transmitting, by said computer processor to said second specified location, said second mobile usage portfolio;

generating, by said computer processor based on said first mobile usage portfolio, said second mobile usage portfolio, and said second power consumption data, a second load usage prediction report associated with said first user, said first plurality of power consumption devices, and said second plurality of power consumption devices; and

transmitting, by said computer processor to said power provider utility for analysis, said second load usage prediction report.

4. The method of claim 1, further comprising:

retrieving, by said computer processor, updated input data associated with said first user of said first plurality of power consumption devices at said first specified location;

generating, by said computer processor based on said updated input data and said first mobile usage portfolio, a modified mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location, said modified mobile usage portfolio;

generating, by said computer processor based on said modified mobile usage portfolio, a modified load usage prediction report associated with said first user and said first plurality of power consumption devices; and

transmitting, by said computer processor to said power provider utility for analysis, said modified load usage prediction report.

5. The method of claim 1, wherein said generating said first load usage prediction report comprises:

calculating, by said computer processor, a predicted amount of power usage for said first plurality of power consumption devices during a future specified time period; and

calculating, by said computer processor, an expected amount of variation from said predicted amount of power usage.

6. The method of claim 1, wherein said first mobile usage portfolio comprises behavioral data associated with said first user and said first plurality of power consumption devices.

7. The method of claim 1, wherein said generating said first mobile usage portfolio comprises:

retrieving, by said computer processor, a process schedule associated with processes performed by said first plurality of power consumption devices; and

generating associations between said first user, said first plurality of power consumption devices, and said process schedule.

8. The method of claim 1, wherein said first input data comprises digital calendar data indicating a future schedule of said first user with respect to said first specified location.

9. A computer program product, comprising a computer hardware storage device storing a computer readable program code, said computer readable program code configured to perform the method of claim 8 upon being executed by said computer processor of said computing system.

10. The method of claim 1, further comprising:

detecting, by said computer processor, said current location of said first user;

determining, by said computer processor, a distance between said current location and said first specified location;

generating, by said computer processor, updated input data associated with said first user and said distance between said current location and said first specified location;

generating, by said computer processor based on said updated input data and said first mobile usage portfolio, a modified mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location, said modified mobile usage portfolio;

generating, by said computer processor based on said modified mobile usage portfolio, a modified load usage prediction report associated with said first user and said first plurality of power consumption devices; and

transmitting, by said computer processor to said power provider utility for analysis, said modified load usage prediction report.

11. The method of claim 10, wherein said detecting comprises communicating with a satellite to determine said current location.

12. A process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code, stored on a computer hardware storage device, in said computer processor, wherein the code in combination with the computer processor is capable of performing the method of claim 1.

13. A computing system comprising said processor coupled to a computer-readable memory unit, said memory unit comprising a computer readable code configured to be enabled by the processor to perform the method of claim 1.

14. The method of claim 1, further comprising:

monitoring, by said computer processor, motion detectors at said first specified location; and

detecting, by said computer processor based on results of said monitoring said motion detectors, motion of individuals at said first specified location, wherein said generating said first load usage prediction report is further based on results of said detecting.

15. The method of claim 1, further comprising:

receiving, by said computer processor, data indicating an expected number of individuals expected at said first specified location, wherein said generating said first load usage prediction report is further based on said data.

16. The method of claim 1, further comprising:

monitoring, by said computer processor, financial transaction data associated with financial transactions of said first user; and

determining, by said computer processor based on results of said monitoring said financial transactions, a distance between said current location and said first specified location, wherein said generating said first load usage prediction report is further based on said distance.

17. A power usage prediction method comprising:

retrieving, by a computer processor of a computing system from a first mobile computing system, first input data associated with a first user of a first plurality of power consumption devices at a first specified location, wherein said first input data comprises location data indicating a current location of said first user, and wherein said current location differs from said first specified location;

retrieving, by said computer processor from a second mobile computing system, second input data associated with a second user of said first plurality of power consumption devices at said first specified location;

retrieving, by said computer processor from said first location, first power consumption data comprising a power consumption level for each power consumption device of said first plurality of power consumption devices;

generating, by said computer processor based on said first input data, a first mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said first mobile computing system, said first mobile usage portfolio;

monitoring, by said computer processor, usage of plumbing fixtures at said first specified location;

determining, by said computer processor based on results of said monitoring, a plumbing usage deviation value indicating that at least one plumbing fixture of said plumbing fixtures has not been used for a specified time period;

generating, by said computer processor based on said second input data, a second mobile usage portfolio associated said second user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said second mobile computing system, said second mobile usage portfolio;

generating, by said computer processor based on said first mobile usage portfolio, said second mobile usage portfolio, said plumbing usage deviation value, and said first power consumption data, a first load usage prediction report associated with said first user, said second user, and said first plurality of power consumption devices; and

transmitting, by said computer processor to a power provider utility for analysis, said first load usage prediction report.

18. The method of claim 17, further comprising:

detecting, by said computer processor, a first current location of said first user, wherein said first current location differs from said first specified location;

detecting, by said computer processor, a second current location of said second user, wherein said second current location differs from said first current location and said first specified location;

determining, by said computer processor, a first distance between said first current location and said first specified location;

determining, by said computer processor, a second distance between said second current location and said first specified location, wherein said first distance differs from said second distance;

generating, by said computer processor, first updated input data associated with said first user and said first distance between said first current location and said first specified location;

generating, by said computer processor, second updated input data associated with said second user and said second distance between said second current location and said first specified location;

generating, by said computer processor based on said first updated input data and said first mobile usage portfolio, a first modified mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said first mobile computing system, said first modified mobile usage portfolio;

generating, by said computer processor based on said second updated input data and said second mobile usage portfolio, a second modified mobile usage portfolio associated said second user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said second mobile computing system, said second modified mobile usage portfolio;

generating, by said computer processor based on said first updated mobile usage portfolio, said second updated mobile usage portfolio, and said first power consumption data, a modified load usage prediction report associated with said first user, said second user, and said first plurality of power consumption devices; and

transmitting, by said computer processor to said power provider utility for analysis, said modified load usage prediction report.

19. A power usage prediction method comprising:

retrieving, by a computer processor of a computing system from a first mobile computing system, first input data associated with a first user of a first plurality of power consumption devices at a first specified location, wherein said first input data comprises location data indicating a current location of said first user, and wherein said current location differs from said first specified location;

retrieving, by said computer processor from a second mobile computing system, second input data associated with a second user of a second plurality of power consumption devices at second specified location, wherein said second specified location differs from said first specified location;

retrieving, by said computer processor from said first location, first power consumption data comprising a power consumption level for each power consumption device of said first plurality of power consumption devices;

retrieving, by said computer processor from said second location, second power consumption data comprising a power consumption level for each power consumption device of said second plurality of power consumption devices;

generating, by said computer processor based on said first input data, a first mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said first mobile computing system, said first mobile usage portfolio;

monitoring, by said computer processor, usage of plumbing fixtures at said first specified location;

determining, by said computer processor based on results of said monitoring, a plumbing usage deviation value indicating that at least one plumbing fixture of said plumbing fixtures has not been used for a specified time period;

generating, by said computer processor based on said second input data, a second mobile usage portfolio associated said second user and said second plurality of power consumption devices;

transmitting, by said computer processor to said second specified location and said second mobile computing system, said second mobile usage portfolio;

generating, by said computer processor based on said first mobile usage portfolio, said second mobile usage portfolio, said first power consumption data, said plumbing usage deviation value, and said second power consumption data, a first load usage prediction report associated with said first user, said second user, said first plurality of power consumption devices, and said second plurality of power consumption devices; and

transmitting, by said computer processor to a power provider utility for analysis, said first load usage prediction report.

20. The method of claim 19, further comprising:

detecting, by said computer processor, a first current location of said first user, wherein said first current location differs from said first specified location;

detecting, by said computer processor, a second current location of said second user, wherein said second current location differs from said first current location, said first specified location, and said second specified location;

determining, by said computer processor, a first distance between said first current location and said first specified location;

determining, by said computer processor, a second distance between said second current location and said second specified location, wherein said first distance differs from said second distance;

generating, by said computer processor, first updated input data associated with said first user and said first distance between said first current location and said first specified location;

generating, by said computer processor, second updated input data associated with said second user and said second distance between said second current location and said second specified location;

generating, by said computer processor based on said first updated input data and said first mobile usage portfolio, a first modified mobile usage portfolio associated said first user and said first plurality of power consumption devices;

transmitting, by said computer processor to said first specified location and said first mobile computing system, said first updated mobile usage portfolio;

generating, by said computer processor based on said second updated input data and said second mobile usage portfolio, a second modified mobile usage portfolio associated said second user and said second plurality of power consumption devices;

transmitting, by said computer processor to said second specified location and said second mobile computing system, said second updated mobile usage portfolio;

generating, by said computer processor based on said first updated mobile usage portfolio, said second updated mobile usage portfolio, said first power consumption data, and said second power consumption data, a modified load usage prediction report associated with said first user, said second user, said first plurality of power consumption devices, and said second plurality of power consumption devices; and

transmitting, by said computer processor to said power provider utility for analysis, said modified load usage prediction report.