ECO SCORE ANALYTICS SYSTEM

• US 20120095794A1
• Filed: 10/06/2011
• Published: 04/19/2012
• Est. Priority Date: 10/15/2010
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Guthridge, Gregory Sean
• Granted Patent: US 9,805,321 B2
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management

Abstract

A system and method are configured to perform eco score analytics for an energy program associated with potential targets. A factor profile initiator determines categories and subcategories of parameters to be included in a model for the energy program based on attributes of the energy program. The model is built and used to determine eco scores for the potential targets. The eco scores estimate propensity of the potential target to participate in the energy program. A campaign engine determines ranking of the scores and a subset of the potential targets are selected as targets for the energy program based on the rankings.

Claims

1. A system configured to perform eco score analytics for an energy program associated with a plurality of potential targets, the system comprising:

a data storage to store a data structure including a plurality of parameters and information associating the parameters with attributes of the energy program;

a factor profile initiator to determine categories and subcategories of the parameters to be included in a model for the energy program based on the information in the data structure and the attributes of the energy program, and to build a model from the categories and subcategories of parameters;

a scoring module executed by a processor to determine values for the categories and subcategories of parameters in the model and to determine a score for each potential target identity based on the model and the values for the categories and subcategories of parameters in the model, wherein each score represents a measure of an estimate of a propensity of the potential target to participate in the energy program;

a campaign engine to determine a ranking of the scores for the plurality of potential targets, wherein at least a subset of the potential targets are selected as targets for the energy program based on the rankings.

2. The system of claim 1, wherein the scoring module is to determine an efficiency score for each potential target that represents an estimate of an impact the potential target is operable to have on load management of power demand.

3. The system of claim 2, wherein the scoring module is to determine a composite score from the score and the efficiency score, and the campaign engine is to select the targets based on the composite score.

4. The system of claim 1, wherein the factor profile initiator is to determine weights for the categories and subcategories of parameters, and the weights are included in the model for calculating the score for each potential target.

5. The system of claim 1, wherein the system receives an input of a data table containing data fields for the plurality of potential targets including categories and subcategories of the parameters associated with the potential targets, and the factor profile initiator uses the data table to select the parameters for the model.

6. The system of claim 1, comprising a dashboard to enter input data for determining the scores and to present data for the potential targets, the model and the scores.

7. The system of claim 1, wherein the information in the data structure includes factors and attributes for the parameters, relative values for the parameters, rationales explaining the relative values, and priorities for the relative values.

8. The system of claim 1, wherein the information in the data structure is updated as a parameter is added, removed or modified.

9. The system of claim 1, wherein previous participation of the potential targets in different energy programs is tracked and used to determine the scores for the potential targets.

10. A method of performing eco score analytics for an energy program associated with a plurality of potential targets, the method comprising:

storing a data structure including a plurality of parameters and information associating the parameters with attributes of the energy program;

determining categories and subcategories of the parameters to be included in a model for the energy program based on the information in the data structure and the attributes of the energy program;

building a model from the categories and subcategories of parameters;

determining values for the categories and subcategories of parameters in the model;

determining by a processor a score for each potential target identity based on the model and the values for the categories and subcategories of parameters in the model, wherein each score represents a measure of an estimate of a propensity of the potential target to participate in the energy program; and

determining a ranking of the scores for the plurality of potential targets, wherein at least a subset of the potential targets are selected as targets for the energy program based on the rankings.

11. The method of claim 10, comprising:

determining an efficiency score for each potential target that represents an estimate of an impact the potential target is operable to have on load management of power demand.

12. The method of claim 11, comprising:

determining a composite score from the score and the efficiency score, wherein the targets are selected based on the composite score.

13. The method of claim 10, comprising:

determining weights for the categories and subcategories of parameters, and the weights are included in the model for calculating the score for each potential target.

14. The method of claim 10, comprising:

receiving an input of a data table containing data fields for the plurality of potential targets including categories and subcategories of the parameters associated with the potential targets; and

using the data table to select the parameters for the model.

15. The method of claim 10, comprising:

receiving input data for determining the scores via a dashboard; and

presenting data for the potential targets, the model and the scores via the dashboard.

16. The method of claim 10, wherein the information in the data structure includes factors and attributes for the parameters, relative values for the parameters, rationales explaining the relative values, and priorities for the relative values.

17. The method of claim 10, wherein the information in the data structure is updated as a parameter is added, removed or modified.

18. The method of claim 10, comprising:

tracking previous participation of the potential targets in different energy programs; and

determining the scores for the potential targets based on the previous participation.

19. A non-transitory computer readable medium storing machine readable instructions that when executed by a processor perform eco score analytics for an energy program associated with a plurality of potential targets, the machine readable instructions comprising instructions to:

store a data structure including a plurality of parameters and information associating the parameters with attributes of the energy program;

determine categories and subcategories of the parameters to be included in a model for the energy program based on the information in the data structure and the attributes of the energy program;

build a model from the categories and subcategories of parameters;

determine values for the categories and subcategories of parameters in the model;

determine a score for each potential target identity based on the model and the values for the categories and subcategories of parameters in the model, wherein each score represents a measure of an estimate of a propensity of the potential target to participate in the energy program; and

determine a ranking of the scores for the plurality of potential targets, wherein at least a subset of the potential targets are selected as targets for the energy program based on the rankings.

20. The non-transitory computer readable medium of claim 19, wherein the instructions further comprise instructions to:

determine an efficiency score for each potential target that represents an estimate of an impact the potential target is operable to have on load management of power demand; and

determine a composite score from the score and the efficiency score, wherein the targets are selected based on the composite score.