Abstract: The embodiments described herein provide a system including a processor configured to execute a demand response management system (DRMS) integrity check system. The DRMS integrity system is configured to query a database system of the DRMS based on a first data to retrieve a second data, wherein the first data is configured to be used by the DRMS during a demand response event to respond to the event. The DRMS integrity system is further configure to verify integrity of the database by verifying that the second data includes a desired data property. The DRMS integrity system is additionally configured to communicate an indication of the integrity of the database.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for estimating demand response load change. According to an example embodiment of the invention, a method is provided for estimating energy usage change associated with a demand event. The method may include determining energy potential change during a demand event for one or more devices associated with a location; estimating energy usage patterns for the location over predefined time periods before and after the demand event; determining pre-demand event and post-demand event energy rebounds based at least in part on the estimated energy usage patterns; determining an energy change profile associated with the location based at least in part on the determined energy potential change, and the pre-demand event and post-demand event energy rebounds.

Abstract: A computing device for use with a demand response system is provided. The computing device includes a processor that is programmed to select at least one participant from a plurality of customers to participate in at least one demand response event. The processor is also programmed to schedule the demand response event. The processor is programmed to compare the selected participant with participants of previously scheduled demand response events to confirm whether the selected participant is able to participate in the demand response event. The processor is also programmed to compare the demand response event with the previously scheduled demand response events. The processor is further programmed to reschedule the demand response event and/or at least one of the previously scheduled demand response events when any conflicts are identified based on the comparison between the demand response event and the previously scheduled demand response events.

Abstract: A computing device for use with a demand response system is provided. The computing device includes an interface that is configured to receive customer data of a plurality of customers. A processor is coupled to the interface and programmed to select a plurality of participants from the plurality of customers to participate in at least one demand response event based on the customer data received. The processor is further programmed to incrementally transmit a plurality of signals representative of the demand response event to the plurality of participants selected.

Abstract: 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.

Abstract: 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.

Abstract: Certain embodiments of the invention may include systems, methods, and apparatus for estimating demand response load change. According to an example embodiment of the invention, a method is provided for estimating energy usage change associated with a demand event. The method may include determining energy potential change during a demand event for one or more devices associated with a location; estimating energy usage patterns for the location over predefined time periods before and after the demand event; determining pre-demand event and post-demand event energy rebounds based at least in part on the estimated energy usage patterns; determining an energy change profile associated with the location based at least in part on the determined energy potential change, and the pre-demand event and post-demand event energy rebounds.