Abstract: A facility for performing setpoint adjustment-based duty cycling techniques by adjusting the setpoint of a device or component is described. The facility reduces energy consumption for a system, such as an HVAC system, or device by adjusting or modulating an associated setpoint or temperature setting. The facility modulates the setpoint between a base setpoint value and another setpoint value based on a mode of the system. When the system is in a cooling mode, the facility modulates the temperature between the base setpoint value and a higher setpoint value. When the system is in heating mode, the facility modulates the temperature between the base setpoint value and a lower setpoint value. The facility may modulate the setpoint between the two setpoint values based on an offset value or a fixed setpoint value.

Abstract: A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75° F., User B's preferred temperature setting is 68° F., and User C's preferred temperature setting is 70° F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

Abstract: Methods and systems for providing consumer directed energy management are described. Consumer defined triggers provide consumers and utilities with the ability to control residential energy usage, by managing manage multiple residential load control elements. A user interface is provided separately from the load control elements to allow the consumer to define his or her schedule and preferences for the purposes of controlling the multiple load control elements. In addition, settings on load control elements can be automatically adjusted based on information about consumer schedules and preferences obtained from other sources. In some embodiments, a utility interface allows utilities to implement improved energy load control. When a utility expects to implement a load control event, the utility can monitor consumer schedules and/or preferences, in order to achieve the desired energy reduction while reducing the impact on participating consumers' comfort.

Abstract: A facility comprising systems, methods, and techniques for collecting data indicative of energy consumption and/or energy production by energy systems and devices and providing the data to interested users and devices in real-time is described. The facility may comprise an energy gateway device coupled to one or more monitored devices, one or more energy data extraction servers, and one or more client computers. The energy gateway devices and energy data extraction servers are coupled to a network and are configured to collect energy consumption and/or energy production data from one or more devices and provide an indication of the collected data in real-time or near real-time. The facility may collect current energy consumption or production rates, predicted energy consumption or production levels over a future period of time, and/or amounts of energy that has been consumed or produced by the device over a previous period of time.

Abstract: The technology disclosed herein provides accurate, targeted, building improvement content in a way that resonates with the user by considering the user's whole ecosystem. The technology uses details of the user's home, neighborhood, family, environmental and historical factors, goals, economic situation, and motivations and preferences to tailor content to a user's personal situation. A server or other computing device may accomplish this by receiving data from the client, a third party, or data local to the server; building modeling constructs based on these data sets such as a physics-based model of the building and a behavioral model of the user; operating these models relative to possible discrete building improvement content units; and using the results to determine personalized building improvement content for the user such as, for example, a webpage.

Abstract: A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75° F., User B's preferred temperature setting is 68° F., and User C's preferred temperature setting is 70° F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

Abstract: Systems and methods for providing collaborative energy benchmarking are described. Information including background data, energy consumption data, temporal data, and/or other information is gathered from multiple sources and stored in a central database. Based on the stored information, energy benchmarks are created for measuring residential energy usage. Energy usage data is displayed to consumers in multiple formats, and permits consumers to directly compare their energy usage data to other consumers or groups of consumers, in addition to their own energy usage. In some embodiments, energy challenge programs encourage reduction of energy usage. Through such programs, consumers create and present challenges for themselves and/or other consumers, such as to reduce energy usage during a given timeframe. The progress of the group and individual consumers is displayed during the course of a challenge.

Abstract: A facility for performing setpoint adjustment-based duty cycling techniques by adjusting the setpoint of a device or component is described. The facility reduces energy consumption for a system, such as an HVAC system, or device by adjusting or modulating an associated setpoint or temperature setting. The facility modulates the setpoint between a base setpoint value and another setpoint value based on a mode of the system. When the system is in a cooling mode, the facility modulates the temperature between the base setpoint value and a higher setpoint value. When the system is in heating mode, the facility modulates the temperature between the base setpoint value and a lower setpoint value. The facility may modulate the setpoint between the two setpoint values based on an offset value or a fixed setpoint value.

Abstract: A method and system for managing energy usage in a building is provided. The method includes collecting data on energy consumption in the building on a generally continuous basis for at least a given time period. Information relating to the energy consumption is displayed to a user on one or more devices. The information includes (a) the data collected on energy consumption to be displayed in real-time on the one or more devices, (b) a comparison of the data collected on energy consumption in the building to energy consumption data of a cohort or group of cohorts, (c) recommendations for reducing energy consumption in the building based on the data collected on energy consumption, and (d) progress report data comparing the data collected on energy consumption to a desired consumption level.

Abstract: Systems and methods for providing collaborative energy benchmarking are described. Information including background data, energy consumption data, temporal data, and/or other information is gathered from multiple sources and stored in a central database. Based on the stored information, energy benchmarks are created for measuring residential energy usage. Energy usage data is displayed to consumers in multiple formats, and permits consumers to directly compare their energy usage data to other consumers or groups of consumers, in addition to their own energy usage. In some embodiments, energy challenge programs encourage reduction of energy usage. Through such programs, consumers create and present challenges for themselves and/or other consumers, such as to reduce energy usage during a given timeframe. The progress of the group and individual consumers is displayed during the course of a challenge.

Abstract: A facility for performing setpoint adjustment-based duty cycling techniques by adjusting the setpoint of a device or component is described. The facility reduces energy consumption for a system, such as an HVAC system, or device by adjusting or modulating an associated setpoint or temperature setting. The facility modulates the setpoint between a base setpoint value and another setpoint value based on a mode of the system. When the system is in a cooling mode, the facility modulates the temperature between the base setpoint value and a higher setpoint value. When the system is in heating mode, the facility modulates the temperature between the base setpoint value and a lower setpoint value. The facility may modulate the setpoint between the two setpoint values based on an offset value or a fixed setpoint value.

Abstract: A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75° F., User B's preferred temperature setting is 68° F., and User C's preferred temperature setting is 70° F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

Abstract: A facility comprising systems, methods, and techniques for collecting data indicative of energy consumption and/or energy production by energy systems and devices and providing the data to interested users and devices in real-time is described. The facility may comprise an energy gateway device coupled to one or more monitored devices, one or more energy data extraction servers, and one or more client computers. The energy gateway devices and energy data extraction servers are coupled to a network and are configured to collect energy consumption and/or energy production data from one or more devices and provide an indication of the collected data in real-time or near real-time. The facility may collect current energy consumption or production rates, predicted energy consumption or production levels over a future period of time, and/or amounts of energy that has been consumed or produced by the device over a previous period of time.

Abstract: A communications bridge facilitates communication between an automatic meter reading (AMR) meter and a home area network (HAN) that uses the ZigBee smart energy (SE) protocol. The communications bridge includes a variety of components, including an AMR receiver, a microcontroller, and a ZigBee radio. The AMR receiver reads AMR data, which is not compatible with the ZigBee SE protocol, from the AMR meter. The microcontroller parses the received AMR data and translates it into corresponding ZigBee data. This ZigBee data is transmitted to other devices on the HAN via the ZigBee radio. The translated AMR meter data can then be presented to a consumer in real-time, enabling the consumer to better understand and manage his or her energy usage.

Abstract: A facility implementing systems and/or methods for achieving energy consumption/production and cost goals is described. The facility identifies various components of an energy system and assesses the environment in which those components operate. Based on the identified components and assessments, the facility generates a model to simulate different series/schedules of adjustments to the system and how those adjustments will effect energy consumption or production. Using the model, and based on identified patterns, preferences, and forecasted weather conditions, the facility can identify an optimal series or schedule of adjustments to achieve the user's goals and provide the schedule to the system for implementation. The model may be constructed using a time-series of energy consumption and thermostat states to estimate parameters and algorithms of the system.

Abstract: Methods and systems for providing consumer directed energy management are described. Consumer defined triggers provide consumers and utilities with the ability to control residential energy usage, by managing manage multiple residential load control elements. A user interface is provided separately from the load control elements to allow the consumer to define his or her schedule and preferences for the purposes of controlling the multiple load control elements. In addition, settings on load control elements can be automatically adjusted based on information about consumer schedules and preferences obtained from other sources. In some embodiments, a utility interface allows utilities to implement improved energy load control. When a utility expects to implement a load control event, the utility can monitor consumer schedules and/or preferences, in order to achieve the desired energy reduction while reducing the impact on participating consumers' comfort.

Abstract: Systems and methods for providing collaborative energy benchmarking are described. Information including background data, energy consumption data, temporal data, and/or other information is gathered from multiple sources and stored in a central database. Based on the stored information, energy benchmarks are created for measuring residential energy usage. Energy usage data is displayed to consumers in multiple formats, and permits consumers to directly compare their energy usage data to other consumers or groups of consumers, in addition to their own energy usage. In some embodiments, energy challenge programs encourage reduction of energy usage. Through such programs, consumers create and present challenges for themselves and/or other consumers, such as to reduce energy usage during a given timeframe. The progress of the group and individual consumers is displayed during the course of a challenge.

Abstract: Apparatus and methods are provided for managing the power or bandwidth consumed by a network of interconnected devices. The apparatus includes a service broker and a token processor disposed within one or more of the devices. The service broker monitors traffic over the network, and directs the one or more of the devices in the network to operate in a tokenized data mode. The token processor receives first tokenized data from the service broker and decodes the first tokenized data into first meaningful data. The token processor also encodes second meaningful data into second tokenized data for transmission to the service broker.

Abstract: Apparatus and methods managing the power profile of a network of interconnected devices. In one embodiment, an apparatus is provided for managing the power consumed by a network of devices. The apparatus includes power management logic that is disposed within a plurality of the devices in the network. The power management logic provides for network-aware power management of the network of devices. The power management logic has descriptor data and management data. The descriptor data identifies a power source for a corresponding device in the network. The management data identifies a function for remote execution by one or more other devices in the network.