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 an interface for receiving customer data that includes at least a location for each customer and/or a preference selection made by each customer associated with at least one demand response program. A processor coupled to the interface and programmed to select a plurality of participants from the customer data to receive a plurality of signals representative of at least one demand response event. The processor selects the participants based at least in part on the customer location and/or the preference selection associated with each customer.

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 at least a location, a policy limitation, a participation history, and an enrollment status for each customer. A processor is coupled to the communication interface and programmed to select at least one participant from the plurality of customers, based on the customer data, to participate in at least one demand response event. The processor is further programmed to verify that the selected participant, based on the customer data, satisfies at least one precondition to receive at least one signal representative of the demand response event.

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 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 processor that is programmed to select a plurality of participants from a plurality of customers to participate in at least one demand response event based on customer data. The processor is also programmed to determine at least one time of day to transmit a plurality of signals representative of the demand response event. The processor is further programmed to transmit, incrementally, the plurality of signals to each of the selected participants such that each of the selected participants receives at least one of the signals.

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 at least a location, a policy limitation, a participation history, and an enrollment status for each customer. A processor is coupled to the communication interface and programmed to select at least one participant from the plurality of customers, based on the customer data, to participate in at least one demand response event. The processor is further programmed to verify that the selected participant, based on the customer data, satisfies at least one precondition to receive at least one signal representative of the demand response event.

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 an interface for receiving customer data that includes at least a location for each customer and/or a preference selection made by each customer associated with at least one demand response program. A processor coupled to the interface and programmed to select a plurality of participants from the customer data to receive a plurality of signals representative of at least one demand response event. The processor selects the participants based at least in part on the customer location and/or the preference selection associated with each customer.

Abstract: Systems and methods relating to renewable power notifications to alert consumers when renewable power becomes more available are provided. Specifically, renewable power generation may depend on changing conditions such as weather. As such, a system according to the present disclosure may involve a network interface and a processor, the network interface receiving a message relating to renewable power generation and sending a renewable power notification to a consumer. The processor may run a system that includes a component to detect renewable power availability based at least in part on the message, a component to determine whether to issue the renewable power notification to the consumer based at least in part on the availability of the renewable power generation, and a component to cause the network interface to issue the renewable power notification to the consumer.

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.