Abstract: The subject disclosure relate to a method for calculating a wind sensitivity score. In some aspects, a method of implementing the technology can include steps for receiving wind speed information for a first geographic location over a first time period, receiving resource consumption data for each of a plurality of similar consumption locations in the first geographic location over the first time period; and generating a wind sensitivity model based on the wind speed information and the resource consumption data for each of the plurality of similar consumption locations. In some aspects, the method may further include steps for computing a wind sensitivity score for each of the similar consumption locations using the wind sensitivity model.

Abstract: Aspects of the subject technology relate to methods and systems for classifying businesses according to an open-hours classification category, for example, based on resource consumption data. In some implementations, methods of the subject technology include steps for receiving a plurality of operating hours categories, wherein each of the operating hours categories is associated with at least one usage profile, and receiving business information for an unclassified business, wherein the business information comprises resource consumption data for the unclassified business. In some aspects, methods of the subject technology can further include steps for determining if the unclassified business should be associated with one of the operating hours categories based on the resource consumption data for the unclassified business. Systems and machine-readable media are also provided.

Abstract: A computer-implemented method includes steps for identifying a plurality of similar users that are similar to a target user, and providing a notification to the target user, the notification comprising a suggested action for the target user. In certain aspects, a method of the subject technology can further include steps for providing comparison information to the target user, wherein the comparison information includes participation information regarding participation for the plurality of similar users, with respect to the suggested action.

Abstract: The subject technology provides for identifying a set of similar users. Energy usage data is retrieved for the set of similar users. Next, based at least on the retrieved energy usage data, a comparison of energy usage of each user in the set of similar users is performed. Based on the comparison of energy usage, at least one user is selected from the set of similar users to include in a campaign. A target for energy usage is then identified for the at least one user.

Abstract: In some aspects, the subject technology relates to an “Eco-mode” on a thermostat. A button or other user interface element may be configured to activate and/or deactivate) the eco-mode on the thermostat. Upon selection of the eco-mode option, various energy-saving programs can be implemented on the thermostat. The energy-saving programs can be configured to adjust a temperature setting of the thermostat or to provide notifications to a user associated with the thermostat that implement various approaches for reducing energy consumption of a heating, ventilation, and air condition (HVAC) system associated with the thermostat. The eco-mode button can provide users/consumers with a convenient way to save energy, without requiring the user to think of comfort tradeoffs that may need to take place.

Abstract: Aspects of the subject technology relate to methods and systems for classifying businesses based on various types of information, such as resource consumption information. In some implementations, methods of the subject technology include steps for receiving a plurality of business categories, wherein each of the business categories is associated with at least one category profile, and receiving business information for an unclassified business, wherein the business information comprises behavioral attribute information corresponding with the unclassified business. In some implementations, the methods disclosed herein can further include steps for comparing the business information to one or more of the category profiles to determine if the unclassified business should be associated with at least one of the plurality of business categories.

Abstract: Illustrative embodiments of the present invention are directed to methods and systems for receiving physiological data of occupants of a building and using the information to control or regulate a controllable setpoint of a climate-control system for the building. The system may operatively interface with biofeedback sensors including wearable sensors and mountable sensors placed within a controlled space within the building. The system may adjust the controllable setpoint of the climate-control system based on a comfort metric associated with at least one of the occupant of the building, the comfort metric derived from the biofeedback data.

Abstract: The subject disclosure relates to computer-implemented methods that include steps for receiving a reduction request, the reduction request indicating a desired amount of a consumable resource for which consumption is to be reduced, receiving a population indicator, the population indicator defining a set of consumers associated with the reduction request, and determining, using a behavioral demand dispatch (BDD) model, one or more target users from among the set of consumers. In certain aspects, the steps can further include providing a demand reduction communication to each of the one or more target users. Systems and computer readable media are also provided.

Abstract: A thermostat set point insight providing method and system that receives thermostat set point information for a reference population for a user, receives at least one thermostat setting for the user, identifies the set point insight for the user based on the thermostat set point information for the reference population and the at least one thermostat setting for the user, and provides the set point insight to the user.

Abstract: Aspects of the subject technology relate to a demand response device that is configured to receive comparison report information from a notification system, wherein the notification system is configured to execute steps including receiving at least one temperature report for each of a plurality of demand response devices, and identifying two or more demand response devices that share a common geographic location. In some aspects, a notification system of the subject technology can be further configured for generating a comparison report, wherein the comparison report is based on the ambient temperature information and the geolocation data for at least two of the plurality of demand response devices.

Abstract: In some aspects, the subject technology relates to an “Eco-mode” on a thermostat. A button or other user interface element may be configured to activate and/or deactivate) the eco-mode on the thermostat. Upon selection of the eco-mode option, various energy-saving programs can be implemented on the thermostat. The energy-saving programs can be configured to adjust a temperature setting of the thermostat or to provide notifications to a user associated with the thermostat that implement various approaches for reducing energy consumption of a heating, ventilation, and air condition (HVAC) system associated with the thermostat. The eco-mode button can provide users/consumers with a convenient way to save energy, without requiring the user to think of comfort tradeoffs that may need to take place.

Abstract: Techniques for energy usage alerts for a climate control device are provided. A computing device can determine a target budget for a specified budget period. The target budget may relate to a desired energy usage amount for a corresponding utility customer. The computing device can obtain usage data relating to actual energy usage by a property associated with the corresponding utility customer or a component of the property. The computing device can determine a projected use relating to an estimated energy usage for remaining days in the specified budget period based on the usage data. The computing device can generate a message including a projected bill for the corresponding utility customer based on the usage data and the projected use. The computing device can send the message to a climate control device associated with the corresponding utility customer based on the projected bill being greater than the target budget.

Abstract: An occupancy schedule determining method and system that receives usage data indicating a quantity of a resource supplied by a utility that is used at the location over a plurality of days, each of the plurality of days being subdivided into a plurality of predetermined time periods, and the usage data indicating the quantity of the resource supplied by the utility that is used during each of the predetermined time periods, aggregates the usage data for each of the plurality of predetermined time periods over the plurality of days, and uses the aggregated usage data to determine the occupancy schedule at the location using a processor.

Abstract: Aspects of the subject technology relate to an energy audit device configured for identifying one or more sources of thermal energy loss. In some implementation, the audit device includes one or more processors, a memory coupled to the processors, a location module coupled to the processors, and one or more environmental sensors. In practice, the processors can be configured to perform various operations including: receiving a first set of environmental measurements, receiving a second set of environmental measurements, and identifying one or more thermal energy leaks at a building location based on the first and second sets of environmental measurements.

Abstract: A method and system for configuring a resource conservation program that receives information about a level of responsiveness for each of a plurality of users, receives information about resource usage for each of the plurality of users, determines an expected value, using a processor, for each of the plurality of users, using the received information about the level of responsiveness and the received information about resource usage, and configures the resource conservation program based on the determined expected value for each of the plurality of users.

Abstract: A method and system for providing information about participation in a utility demand response (DR) event by a plurality of utility customers receives information regarding participation in the DR event by the plurality of utility customers, determines DR event feedback information using a processor and the received information regarding participation in the DR event, and provides the DR event feedback information to at least one utility customer from among the plurality of utility customers.

Abstract: Techniques for saving energy efficient setpoints are described herein. A computing device can detect a change in a setpoint schedule based on setpoint data from a client computing device. The computing device can determine that the change in the setpoint schedule decreases energy consumption for a corresponding utility customer associated with the client computing device. The computing device can generate a notification including an indication that the change in the setpoint schedule decreases energy consumption for the corresponding utility customer. The computing device can further send the notification to the client computing device to cause a prompt to be displayed on a user interface of the client computing device, in which the prompt includes the sent notification. The computing device may cause a prompt to be displayed on the client computing device that includes options including an option to adopt the change in the setpoint schedule using the setpoint data.

Abstract: A thermostat set point estimation method and system that selects a plurality of candidate thermostat set points, determines for each of the plurality of candidate thermostat set points a predicted energy usage amount corresponding to the candidate thermostat set point, determines for each of the plurality of candidate thermostat set points an error value corresponding to the candidate thermostat set point using an actual energy usage amount and the predicted energy usage amount corresponding to the candidate thermostat set point, and identifies an estimated thermostat set point by selecting the candidate thermostat set point having the error value that is lowest from the plurality of candidate thermostat set points.

Abstract: Methods and computer systems are disclosed for identifying the power-demand of a climate-control system at a premises to reduce usage of energy at the premises. A computer system receives energy usage data and run-time data of the climate-control system. The operational data includes an on-time and/or off-time associated with the climate-control system. The computer system determines a power-draw of the climate-control system using the energy usage data and the run-time data and outputs the power-draw to be used to reduce the energy usage at the premises.

Abstract: The disclosure provides a computer-implemented method and system of reducing commodity usage by providing tailored consumer information to the consumer. The method utilizes neural network and machine learning techniques to calculate and cluster statistical data to classify the premises for desired observable condition, including the presence of a programmed thermostat. A score is determined that corresponds to at least one of: (i) a present state of an observable condition, (ii) a non-present state of the observable condition, and (iii) a degree of a condition of the observable condition, to provide tailored consumer information associated to the consumer's usage of the commodity.