Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: Multiple questions are selected into a chain of polls. Questions from the chain of polls are served to each identified user via multiple different online venues. Over time, the results of the cumulative responses of particular users that have answered most or all of the questions in the chain are aggregated and correlated to determine overall user response. This method collects data on many questions while avoiding respondent fatigue by serving the questions in small numbers over time.

Abstract: Structured comprehensive polls are comprised of question and answer options and are supported by expert opinions and data points (subjective and objective information). Structured polls enable interested parties to conduct social research and obtain and analyze information about public opinion based on informed choices and crowd-sourcing applied to information collection and research based on 2-way communication with the target audience.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

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: Accessing an energy usage rule for a device is described, wherein the device is coupled with a first structure. The energy usage of the device is monitored. The energy usage rule and the energy usage is then compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with said energy usage, thereby enabling efficient energy management.

Abstract: Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Abstract: A system and method are disclosed for automatically configuring an Ethernet device as either an Ethernet end station or as an Ethernet hub to permit the Ethernet device to be coupled to another Ethernet device regardless of whether the Ethernet devices are Ethernet end stations or Ethernet hubs and regardless of whether a straight-through or crossover cable is used to interconnect the Ethernet devices. According to one embodiment, a control device is disposed between an Ethernet device physical layer and a connector for periodically reversing a transmit/receive configuration of the device until an Ethernet link is established. More particularly, a plurality of multiplexers are positioned in front of the Ethernet physical layer to switch between transmit and receive leads of the same polarity to selectively reverse the transmit/receive configuration of the associated Ethernet device. In operation, the transmit/receive configuration of and Ethernet device is positioned in a default, or initial, setting.