Google Inc.

Other

Zome Networks, Inc.

Bradley A Kayton

Jason C Weaver

Jacob Stuart Michael Beal

Vinayak Ranade

Jon Rappaport

Bradley D LaRonde

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.

Systems, methods and apparatus for encouraging energy conscious behavior based on aggregated third party energy consumption

Intelligent temperature management based on energy usage profiles and outside weather conditions

Systems, methods and apparatus for overall load balancing by scheduled and prioritized reductions

Various arrangements of controlling a temperature of an enclosure are presented. A setpoint temperature may be received by a thermostat from a user via an energy management device. The setpoint temperature may indicate a desired temperature of the enclosure. The thermostat may be operated in accordance with the setpoint temperature. Energy consumption associated with the thermostat may be monitored. The monitored energy consumption may be compared to an energy usage profile. Based on such a comparison, at least one adjustment to the operation of the thermostat may be determined that will reduce energy consumption associated with the thermostat as compared to the energy consumption associated with operating the thermostat in accordance with the setpoint temperature.

Systems, methods and apparatus for monitoring and managing device-level energy consumption in a smart-home environment

Various arrangements for accessing an energy management policy for a plurality of devices are described. The energy usage of devices within a first structure 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 may be generated to modify an energy usage profile of one or more devices to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

Managing energy usage

Systems, methods and apparatus for weather-based preconditioning

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.

Virtual mass emulator

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.

Growing community of inventors

Hollis, NH, United States of America

Bradley A Kayton