Abstract: Methods and computer systems report and track resource performance for business customers. The computer system receives usage data about a resource associated with a customer of a utility, including hourly usage information about the resource metered at a business premises of the customer. The computer system receives operational data associated with the business premises, including hours of operations information describing when the business premises is open to patrons. The computer system determines resource performance data for the business premises using the received usage data and the received operational data, including information about: (i) resource usage at the business premises during the hours when open to patrons, and (ii) resource usage at the business premises during the hours when closed to patrons. The computer system causes a reporting of this information to the customer of the resource.
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.
Type:
Application
Filed:
March 11, 2013
Publication date:
July 24, 2014
Applicant:
OPOWER, INC.
Inventors:
Daniel Bloomfield Ramagem, Oren Benjamin Yeshua, Crystal Hsiung, Justin Spradlin, Wayne Lin
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: Illustrative embodiments of the present invention are directed to a method and system for disaggregating climate control energy use from non-climate control energy use for a building. The method includes receiving a series of building energy use values and corresponding outdoor temperature values for a time period. Each of the energy use values and outdoor temperature values is associated with a time interval. The method further includes determining a series of temperature difference values for the time period based on a difference in temperature between a predetermined baseline temperature and each of the outdoor temperature values. A regression analysis is used to determine a climate control coefficient and a non-climate control coefficient from the energy use values and temperature difference values. The climate control coefficient and/or the non-climate control coefficient is used to determine climate control energy use and/or non-climate control energy use for the building.
Type:
Grant
Filed:
November 5, 2010
Date of Patent:
February 25, 2014
Assignee:
OPOWER, Inc.
Inventors:
Richard Curtis, David Copeland, Daniel J. Yates
Abstract: Illustrative embodiments of the present invention are directed to methods and computer systems for reporting unusual or anomalous usage or spending of a commodity by consumers. A computer system retrieves a set of usage-information datasets corresponding to a set of consumers, each dataset including past usage of the commodity during at least one of a completed billing period and a current usage of the commodity during the current billing period. The computer system establishes a set of report-trigger conditions for the current billing period, each of the report-trigger conditions corresponding to a consumer. The computer system monitor usage or spending of the set of consumers to determine, for each consumer, whether an estimated usage established for each consumer fulfills the consumer's report-trigger condition. Once the report-trigger condition is fulfilled, the computer system outputs a report to the consumer.
Type:
Application
Filed:
February 12, 2013
Publication date:
January 2, 2014
Applicant:
Opower, Inc.
Inventors:
Janet Yu, Tom Mercer, Eric Chang, Richard Tyler Curtis, Daniel J. Yates
Abstract: Illustrative embodiments of the present invention are directed to methods and computer systems for reporting a consumer's usage of a resource. A computer system retrieves consumer characteristic data and resource usage data for the first consumer and a set of second consumers including characteristic data related to each consumer. The computer system selects at least one consumer that is similar to the first consumer from the set of second consumers based upon a plurality of common criteria between the first consumer's characteristic data and a second consumer's characteristic data. The computer processes may be performing iteratively until the total number of similar consumers is equal to or greater than the predetermined number of consumers. Once a desired number of similar consumers is found, the computer system generates a report that displays the first consumer's resource usage data and the at least one similar consumers' resource usage data.
Abstract: Illustrative embodiments of the present invention are directed to a method and system for disaggregating climate control energy use from non-climate control energy use for a building. The method includes receiving a series of building energy use values and corresponding outdoor temperature values for a time period. Each of the energy use values and outdoor temperature values is associated with a time interval. The method further includes determining a series of temperature difference values for the time period based on a difference in temperature between a predetermined baseline temperature and each of the outdoor temperature values. A regression analysis is used to determine a climate control coefficient and a non-climate control coefficient from the energy use values and temperature difference values. The climate control coefficient and/or the non-climate control coefficient is used to determine climate control energy use and/or non-climate control energy use for the building.