Users campaign for peaking energy usage
First Claim
1. A computer-implemented method, comprising:
- aggregating, by a processor of a computer, consumption data for a plurality of users, the consumption data corresponding with an amount of energy resource consumption for each of the plurality of users, wherein the consumption data is retrieved over a network from meters;
generating, by the processor from the consumption data, a load curve for each of the plurality of users;
identifying, by the processor from the load curves, a set of target users that consume more resources during a first time period than a second time period out of the plurality of users;
wherein the identifying comprises;
comparing the load curve of each of the plurality of users to a plurality of load curve archetypes, wherein each load curve archetype includes a respective load curve that represents a type of user based on energy consumption tracked during a time period;
wherein the plurality of load curve archetypes includes a first archetype that categorizes the user as an evening peak user that has a peak usage in an evening time period and a second archetype that categorizes the user as a morning peak user that has the peak usage in a morning time period;
associating each of the plurality of users as the evening peak user or the morning peak user based on the load curve archetype that the user'"'"'s load curve most closely resembles; and
identifying the set of target users from the plurality of users as users being the evening peak users whose load curve resembles the first archetype that has the peak usage in the evening time period;
analyzing, by the processor, a plurality of available recommendations to identify a first recommendation associated with the evening peak users;
modifying, by the processor, the first recommendation to include an instruction for causing an action to be performed to adjust a setting in a climate control device to reduce resource consumption during the evening time period;
generating, by the processor, use reports in electronic form for each target user in the set of target users, and modifying the use reports to include the first recommendation for each target user, wherein the modified use report provides a visual display of the consumption data for a corresponding target user; and
controlling, by the processor over a computer network based on the set of target users, transmission of each of the use reports in electronic form to remote devices associated with corresponding target users from the set of target users, wherein the use report and the first recommendation is transmitted to cause the evening peak user to adjust the climate control device to reduce resource consumption during the evening time period.
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Accused Products
Abstract
Aspects of the subject technology relate to a system that analyzes customers'"'"' AMI load curves, identifies evening peak users as defined by their load curves, and provides Energy Efficiency (EE) advice related to their periods of high use. For example, identified high evening users can be sent an email with normative comparisons on evening load use, along with tips to reduce energy usage. Other aspects relate to additional targets/communications. Aspects of the subject technology relate to categorizing a user'"'"'s energy consumption tendencies based on a user'"'"'s load curve and providing customized content based on the user'"'"'s category. By taking into consideration the user'"'"'s actual energy consumption patterns, the system may be able to provide more relevant content to the user.
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Citations
16 Claims
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1. A computer-implemented method, comprising:
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aggregating, by a processor of a computer, consumption data for a plurality of users, the consumption data corresponding with an amount of energy resource consumption for each of the plurality of users, wherein the consumption data is retrieved over a network from meters; generating, by the processor from the consumption data, a load curve for each of the plurality of users; identifying, by the processor from the load curves, a set of target users that consume more resources during a first time period than a second time period out of the plurality of users; wherein the identifying comprises; comparing the load curve of each of the plurality of users to a plurality of load curve archetypes, wherein each load curve archetype includes a respective load curve that represents a type of user based on energy consumption tracked during a time period; wherein the plurality of load curve archetypes includes a first archetype that categorizes the user as an evening peak user that has a peak usage in an evening time period and a second archetype that categorizes the user as a morning peak user that has the peak usage in a morning time period; associating each of the plurality of users as the evening peak user or the morning peak user based on the load curve archetype that the user'"'"'s load curve most closely resembles; and identifying the set of target users from the plurality of users as users being the evening peak users whose load curve resembles the first archetype that has the peak usage in the evening time period; analyzing, by the processor, a plurality of available recommendations to identify a first recommendation associated with the evening peak users; modifying, by the processor, the first recommendation to include an instruction for causing an action to be performed to adjust a setting in a climate control device to reduce resource consumption during the evening time period; generating, by the processor, use reports in electronic form for each target user in the set of target users, and modifying the use reports to include the first recommendation for each target user, wherein the modified use report provides a visual display of the consumption data for a corresponding target user; and controlling, by the processor over a computer network based on the set of target users, transmission of each of the use reports in electronic form to remote devices associated with corresponding target users from the set of target users, wherein the use report and the first recommendation is transmitted to cause the evening peak user to adjust the climate control device to reduce resource consumption during the evening time period. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computing device for implementing an evening peak user campaign, the computing device comprising:
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at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the computing device to; aggregate consumption data for a plurality of users, the consumption data corresponding with an amount of energy resource consumption for each of the plurality of users; generate, from the consumption data, a load curve for each of the plurality of users; identify, based at least in part on the load curves, a set of target users that consume more resources during a first time period than a second time period out of the plurality of users; wherein the identifying comprises; comparing the load curve of each of the plurality of users to a plurality of load curve archetypes, wherein each load curve archetype includes a respective load curve that represents a type of user based on energy consumption tracked during a time period; wherein the plurality of load curve archetypes includes a first archetype that categorizes the user as an evening peak user that has a peak usage in an evening time period and a second archetype that categorizes the user as a morning peak user that has the peak usage in a morning time period; associating each of the plurality of users as the evening peak user or the morning peak user based on the load curve archetype that the user'"'"'s load curve most closely resembles; and identifying the set of target users from the plurality of users as users being the evening peak users whose load curve resembles the first archetype that has the peak usage in the evening time period; analyze a plurality of available recommendations to identify a first recommendation associated with the evening peak users; modify the first recommendation to include an instruction for causing an action to be performed to adjust a setting in climate control device to reduce resource consumption during the evening time period; generate use reports in electronic form for each target user in the set of target users, and modifying the use reports to include the first recommendation for each target user, wherein the modified use report provides a visual display of the consumption data for a corresponding target user; and control transmission of each of the use reports in electronic form over a computer network based on the set of target users to remote devices associated with corresponding target users from the set of target users, wherein use report and the first recommendation is transmitted to cause the evening peak user to adjust the climate control device to reduce resource consumption during the evening time period. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification