Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: A wireless device used to communicate with and control one or more components of an HVAC system from a remote location is provided. The wireless device is configured to display two or more icons on the display of the device, wherein each icon executes a function that aids the user in controlling one or more components of the HVAC system. The wireless device dynamically orders the two or more icons on the display of the device, each according to a dynamic ranking algorithm. The dynamic ranking algorithm is based on a number of factors such as, for example, a relative frequency of selection of each of the two or more icons by a user, the current time of day, the current time of year, the current temperature, and/or the current location of the wireless device.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: An approach where a utility/ISO may dispatch demand response (DR) resources in real time without notification of a DR event. DR dispatches may involve sending specific load level commands to power generators that can respond to such commands in a predictable fashion. DR resources do not necessarily have the same level of control or predictability in their load responses. Accuracy of predicting a DR resource's response to a DR signal may be improved by restricting the DR signal to predefined finite values and, for each predefined finite value, have the DR resource continuously report back what its load response will be if one of those signal values is sent as a DR signal. A DR performed against a home may result in discomfort. But there may be a sufficient recovery rate for regaining the setpoint of a thermostat to attain comfort of the home within a reasonable period of time.

Abstract: A wireless device may be used to communicate with and control one or more components of an HVAC system from a remote location. The wireless device may be configured to display two or more icons on the display of the device, wherein each icon executes a function that aids the user in controlling one or more components of the HVAC system. The wireless device may dynamically order the two or more icons on the display of the device, each according to a dynamic ranking algorithm. The dynamic ranking algorithm may be based on a number of factors including, for example, a relative frequency of selection of each of the two or more icons by a user, the current time of day, the current time of year, the current temperature, the current location of the wireless device, and/or the like.