PROVIDING ENERGY MANAGEMENT RECOMMENDATIONS WITH AN ENERGY MANAGEMENT DEVICE

• US 20120323385A1
• Filed: 06/17/2011
• Published: 12/20/2012
• Est. Priority Date: 06/17/2011
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Thiruvengada, Hari, Dharwada, Pallavi, Foslien, Wendy, Tharanathan, Anand
• Application Number:
  US13/163,205
• Publication Number:
  US 20120323385A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

Devices, systems, and methods for providing energy management recommendations are provided. One method includes recording a number of interactions between a user and a computing device, creating an energy usage profile according to the number of interactions between the user and the computing device, computing energy usage analytics associated with the energy usage profile, presenting the energy usage analytics to the user, and providing a number of energy management recommendations that account for the usage analytics and the energy usage profile.

Claims

1. A computer implemented method for providing energy management recommendations, the method comprising:

recording a number of interactions between a user and a computing device;

creating an energy usage profile according to the number of interactions between the user and the computing device;

computing energy usage analytics associated with the energy usage profile;

presenting the energy usage analytics to the user; and

providing a number of energy management recommendations that account for the usage analytics and the energy usage profile.

2. The computer implemented method of claim 1, wherein presenting the energy usage analytics to the user includes presenting the energy usage analytics for a number of appliances.

3. The computer implemented method of claim 2, wherein providing a number of energy management recommendations includes providing expected energy usage analytics for an energy management recommendation associated with the number of appliances.

4. The computer implemented method of claim 1, wherein providing the energy management recommendations includes providing the energy management recommendations through at least one of the computing device, a mobile telephone, a smart reader, a web portal, a utility bill, an email to the user, or a social network media update.

5. The computer implemented method of claim 1, wherein providing the number of energy management recommendations that account for the usage analytics includes providing a number of energy management recommendations that include ways to reduce the current energy usage.

6. The computer implemented method of claim 1, wherein providing the number of energy management recommendations further includes providing a notification of a number of reasons for a user to follow the number of energy management recommendations.

7. The computer implemented method of claim 6, wherein providing the notification of the number of reasons includes notifying the user of an amount that energy usage will be reduced.

8. The computer implemented method of claim 1, wherein creating the energy usage profile according to the number of interactions between the user and the computing device includes creating the energy usage profile according to data retrieved from a social networking site.

9. The computer implemented method of claim 1, wherein providing the number of energy management recommendations includes providing a number of other energy management recommendations to the user that were chosen by a number of other users who chose to use an energy management recommendation chosen by the user.

10. The computer implemented method of claim 1, wherein the method includes providing an alert to the user, wherein the alert is based on an energy management event associated with the number of appliances.

11. A computing device for providing energy management recommendations, comprising:

a memory; and

a processor configured to execute executable instructions stored in the memory to;

record a number of interactions between a user and the computing device, wherein the number of interactions are associated with programming a number of appliances through the computing device;

create an energy usage profile according to the number of interactions between the user and the computing device;

compute energy usage analytics associated with the energy usage profile and each of the number of appliances;

present the energy usage analytics to the user; and

provide a number of energy management recommendations for reducing a current energy usage, wherein the recommendations account for the energy usage analytics and the energy usage profile.

12. The computing device of claim 11, wherein the computing device is configured to display an energy usage budget and a variation from the current energy usage and the energy usage budget.

13. The computing device of claim 11, wherein the computing device is configured to detect a malfunction in the number of appliances.

14. The computing device of claim 13, wherein the computing device is configured to provide a recommendation for correcting the malfunction in the number of appliances.

15. The computing device of claim 13, wherein the computing device is configured to create a list of maintenance items associated with the appliances for a user to purchase.

16. The computing device of claim 11, wherein the computing device is configured to display a cost associated with the energy usage analytics.

17. A system for providing energy management recommendations, comprising:

a machine including processor resources; and

memory resources associated with the machine, the memory resources storing machine readable instructions that, when executed by the processor resources, cause the processor resources to;

determine a user profile based on user interactions with a computing device;

calculate current energy usage analytics associated with the user profile;

display the current energy usage analytics to the user; and

provide an energy management recommendation to the user, wherein the energy management recommendation includes a recommendation to adjust a number of schedules of the number of appliances.

18. The system of claim 17, wherein the machine readable instructions that cause the processor resources to provide the energy management recommendation to the user include machine readable instructions that cause the processor resources to provide a notification when a plurality of appliances are scheduled to run during a same time.

19. The system of claim 17, wherein the machine readable instructions that cause the processor resources to provide the energy management recommendation to the user include machine readable instructions that cause the processor resources to provide a recommended schedule setting for the number of appliances.

20. The system of claim 19, wherein the machine readable instructions that cause the processor resources to display the current energy usage analytics to the user include machine readable instructions that cause the processor resources to display an energy usage for a current schedule setting and the recommended schedule setting.