Abstract: The present invention is directed to a system and method for emulating smart grid devices in a smart grid for demand-response program analysis and optimization. Smart grid devices may be emulated in a virtual environment on a server, and can also be emulated individually on smart grid devices themselves. Demand-response programs can be simulated in a virtual environment with virtual emulated smart grid devices, or they can be simulated in a hybrid real-virtual environment with both real smart grid devices and virtual emulated smart grid devices. Demand-response programs can be simulated serially or in parallel. Additionally, such hybrid demand-response program simulations can be enhanced and optimized by including data obtained from the real smart grid devices into the simulation feed-back loop.

Abstract: A logic ladder is utilized for conducting Advanced Measurement and Verification (M&V) of energy utilizing devices under curtailment control as part of organized energy management and/or demand response programs. The logic ladder starts with the most accurate method of conducting M&V and steps down from there: first step is measuring energy current directly at the device itself; the second step is use of an Appliance Codes datastore, which are listed capabilities of devices under load control to be used as a proxy if direct measurement of energy consumed at the device is not available; the third step is to poll the smart meter, if it is installed, and taking the energy differential before and immediately after curtailment; and the fourth step is to resort to analytics and historical model estimates of energy curtailment. Appliance Codes consist of a set of parameters that describe the energy utilizing device or appliance under load control, most notably the wattage used when in operation.

Abstract: The present invention is directed to a system and method for implementing demand-response operations with interoperating rules engines in a smart grid, and for implementing demand-response operations with interoperating rules engines distributed throughout the system in a smart grid.

Abstract: The present invention is directed to a system and method for quantifying, measuring and verifying the results of demand side energy management programs in a smart grid by the selection of a smart grid device from the universe of smart grid devices participating in the demand side energy management program by a selecting energy collection server and collecting data from the selected smart grid device in order to reduce the load on the network. An agent resident on the selected smart grid device transmits data to the selecting energy collection server which utilizes the data to verify the demand side energy management program.

Abstract: The present invention is directed to a system and method for emulating smart grid devices in a smart grid for demand-response program analysis and optimization. Smart grid devices may be emulated in a virtual environment on a server, and can also be emulated individually on smart grid devices themselves. Demand-response programs can be simulated in a virtual environment with virtual emulated smart grid devices, or they can be simulated in a hybrid real-virtual environment with both real smart grid devices and virtual emulated smart grid devices. Demand-response programs can be simulated serially or in parallel. Additionally, such hybrid demand-response program simulations can be enhanced and optimized by including data obtained from the real smart grid devices into the simulation feed-back loop.

Abstract: In one embodiment, a focus on an focus item associated with a controllable item is determined. For example, the focus may be moving a pointer over an focus item displayed on a display. One or more functional actions for the controllable item are then determined based on the focus being on the focus item. For example, if the controllable item is a camera and the focus is on an icon for the camera, then one or more functional actions for the camera are determined. The one or more functional actions are then assigned to one or more inputs on a input device. The input device can now be used to perform the one or more functional actions by using the one or more inputs. For example, the user may select one of the inputs, which sends signals to a processing device. The processing device can then determine the functional action assigned to the input and cause the action to be performed with the controllable item.

Abstract: In one embodiment, a focus on an focus item associated with a controllable item is determined. For example, the focus may be moving a pointer over an focus item displayed on a display. One or more functional actions for the controllable item are then determined based on the focus being on the focus item. For example, if the controllable item is a camera and the focus is on an icon for the camera, then one or more functional actions for the camera are determined. The one or more functional actions are then assigned to one or more inputs on a input device. The input device can now be used to perform the one or more functional actions by using the one or more inputs. For example, the user may select one of the inputs, which sends signals to a processing device. The processing device can then determine the functional action assigned to the input and cause the action to be performed with the controllable item.