Jaime Alberto Sierra, Atlanta US
Jaime Alberto Sierra, Atlanta, GA US
Patent application number | Description | Published |
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20130047010 | METHOD, SYSTEM AND COMPUTER PROGRAM PRODUCT FOR SCHEDULING DEMAND EVENTS - Disclosed and described herein are embodiments of systems, methods and computer program for scheduling demand events over a time period based on differences between the estimated power availability and the estimated power consumption at various points during the time period. In one aspect, methods are described. One embodiment of a method comprises establishing a defined time period, estimating power availability over the time period, estimating power consumption over the time period, and scheduling, using a computing device, demand events over the time period based on differences between the estimated power availability and the estimated power consumption at various points during the time period. | 02-21-2013 |
20130109410 | SYSTEMS AND METHODS TO IMPLEMENT DEMAND RESPONSE EVENTS | 05-02-2013 |
20130110299 | SYSTEMS AND METHODS TO PREDICT A REDUCTION OF ENERGY CONSUMPTION | 05-02-2013 |
20130110305 | SYSTEMS AND METHODS TO IMPLEMENT DEMAND RESPONSE EVENTS | 05-02-2013 |
20130110569 | SYSTEMS AND METHODS TO SCHEDULE DEMAND RESPONSE EVENTS | 05-02-2013 |
20130110970 | SYSTEMS AND METHODS TO PROVIDE DEMAND RESPONSE EVENTS | 05-02-2013 |
20130111358 | SYSTEMS AND METHODS TO PROVIDE SIGNALS REPRESENTATIVE OF DEMAND RESPONSE EVENTS | 05-02-2013 |
20150154499 | SYSTEMS AND METHODS TO PREDICT A REDUCTION OF ENERGY CONSUMPTION - A computing device for use with a demand response system is provided. The computing device includes a communication interface for receiving customer data of a plurality of customers, wherein the customer data includes a participation history and historical consumption values for each customer for participating in at least one demand response event. A processor is coupled to the communication interface and is programmed to select at least one customer from the plurality of customers by considering the participation history and the historical consumption values for each of the customers. The processor is also programmed to estimate a future reduction in energy consumption for the customer based on the customer data and to determine whether the estimated future reduction in energy consumption is substantially accurate. | 06-04-2015 |