公开(公告)号：US09547316B2

公开(公告)日：2017-01-17

申请号：US13799550

申请日：2013-03-13

Applicant: Opower, Inc.

Inventor： Erik Shilts ,  Jonathan Z. Ben-Meshulam ,  Richard Tyler Curtis

IPC: G05D23/00 ,  G06Q50/06 ,  G05D23/01

CPC classification number: G05D23/01 ,  G06Q50/06

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.

Abstract translation: 本公开提供了一种通过向消费者提供定制的消费者信息来减少商品使用的计算机实现的方法和系统。 该方法利用神经网络和机器学习技术来计算和聚类统计数据，将房屋分类为所需的可观察条件，包括编程恒温器的存在。 确定对应于以下中的至少一个的评分：（i）可观察条件的现状，（ii）可观察条件的非存在状态，以及（iii）可观察条件的条件的程度， 提供与消费者对商品使用相关联的量身定制的消费者信息。

公开(公告)号：US09727063B1

公开(公告)日：2017-08-08

申请号：US14242333

申请日：2014-04-01

Applicant: OPOWER, INC.

Inventor： Erik Shilts ,  Yoni Ben-Meshulam ,  Ben Packer ,  Richard Tyler Curtis

IPC: G01M1/38 ,  G05B13/00 ,  G05B15/00 ,  G05D23/00 ,  G05D23/19

CPC classification number: F24F11/30 ,  F24F11/46 ,  F24F11/62 ,  F24F2110/10 ,  F24F2140/60 ,  G05B15/00

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.

公开(公告)号：US10796346B2

公开(公告)日：2020-10-06

申请号：US13765045

申请日：2013-02-12

Applicant: Opower, Inc.

Inventor： Janet Yu ,  Tom Mercer ,  Eric Chang ,  Richard Tyler Curtis ,  Daniel J. Yates

IPC: G06Q30/02

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.

公开(公告)号：US11455666B2

公开(公告)日：2022-09-27

申请号：US17062686

申请日：2020-10-05

Applicant: OPower, Inc.

Inventor： Janet Yu ,  Tom Mercer ,  Eric Chang ,  Richard Tyler Curtis ,  Daniel J. Yates

IPC: G06Q30/02

Abstract: Illustrative embodiments are directed to methods and computer systems for reporting unusual or anomalous usage 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 may 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.

公开(公告)号：US09633401B2

公开(公告)日：2017-04-25

申请号：US13839082

申请日：2013-03-15

Applicant: Opower, Inc.

Inventor： Richard Tyler Curtis

IPC: G06Q50/06 ,  F24F11/00 ,  H02J3/00 ,  H02J13/00

CPC classification number: G06Q50/06 ,  F24F11/30 ,  F24F11/64 ,  F24F2110/00 ,  F24F2140/60 ,  H02J3/00 ,  H02J13/001 ,  H02J2003/007 ,  Y04S10/40

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.

公开(公告)号：US20140074300A1

公开(公告)日：2014-03-13

申请号：US13799550

申请日：2013-03-13

Applicant: Opower, Inc.

Inventor： Erik Shilts ,  Jonathan Z. Ben-Meshulam ,  Richard Tyler Curtis

IPC: G05D23/01

CPC classification number: G05D23/01 ,  G06Q50/06

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.

Abstract translation: 本公开提供了一种通过向消费者提供定制的消费者信息来减少商品使用的计算机实现的方法和系统。 该方法利用神经网络和机器学习技术来计算和聚类统计数据，将房屋分类为所需的可观察条件，包括编程恒温器的存在。 确定对应于以下中的至少一个的评分：（i）可观察条件的现状，（ii）可观察条件的非存在状态，以及（iii）可观察条件的条件的程度， 提供与消费者对商品使用相关联的量身定制的消费者信息。

公开(公告)号：US20140006314A1

公开(公告)日：2014-01-02

申请号：US13765045

申请日：2013-02-12

Applicant: OPOWER, INC.

Inventor： Janet Yu ,  Tom Mercer ,  Eric Chang ,  Richard Tyler Curtis ,  Daniel J. Yates

IPC: G06Q30/02

CPC classification number: G06Q30/0283 ,  G06Q30/02

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.

Abstract translation: 本发明的说明性实施例涉及用于报告消费者不寻常或异常使用或消费商品的方法和计算机系统。 计算机系统检索对应于一组消费者的一组使用信息数据集，每个数据集包括在当前记帐周期期间在完成的记帐周期和商品的当前使用中的至少一个期间商品的过去使用。 计算机系统为当前结算周期建立一组报告触发条件，每个报告触发条件对应于消费者。 计算机系统监视消费者集合的使用或消费，以确定每个消费者是否为每个消费者建立的估计使用量满足消费者的报告触发条件。 一旦达到报告触发条件，计算机系统向消费者输出报告。

公开(公告)号：US10235662B2

公开(公告)日：2019-03-19

申请号：US14577929

申请日：2014-12-19

Applicant: Opower, Inc.

Inventor： Richard Tyler Curtis

IPC: G06Q20/14 ,  G06Q50/06

Abstract: Techniques for unusual usage alerts without smart meter data are provided. The computing device can determine a set of climate control disaggregation coefficients and obtain weather data corresponding to at least a portion of a billing period. In turn, the computing device can determine first forecasted usage data for the at least a portion of the billing period based on the set of climate control disaggregation coefficients and the weather data, and determine second forecasted usage data for a length of the billing period based at least in part on the first forecasted usage data. In some aspects, the computing device can project unusual energy usage for the billing period based on the second forecasted usage data determined to be greater than usage data for a prior time period. The computing device can generate an alert notification including an indication of the unusual energy usage projection.

公开(公告)号：US10001792B1

公开(公告)日：2018-06-19

申请号：US14303165

申请日：2014-06-12

Applicant: OPOWER, INC.

Inventor： Ben Packer ,  Agustin Fonts ,  Erik Shilts ,  Garner Chung ,  Richard Tyler Curtis

IPC: G05D23/32

CPC classification number: G05D23/1904 ,  F24F11/46 ,  F24F11/62 ,  F24F11/65 ,  F24F2120/10 ,  F24F2140/50 ,  G06Q10/04 ,  G06Q10/10 ,  G06Q50/06

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.

公开(公告)号：US20160005015A1

公开(公告)日：2016-01-07

申请号：US14577929

申请日：2014-12-19

Applicant: Opower, Inc.

Inventor： Richard Tyler Curtis

IPC: G06Q20/14 ,  G06Q50/06

CPC classification number: G06Q20/145 ,  G06Q50/06 ,  Y04S50/12

Abstract: Techniques for unusual usage alerts without smart meter data are provided. The computing device can determine a set of climate control disaggregation coefficients and obtain weather data corresponding to at least a portion of a billing period. In turn, the computing device can determine first forecasted usage data for the at least a portion of the billing period based on the set of climate control disaggregation coefficients and the weather data, and determine second forecasted usage data for a length of the billing period based at least in part on the first forecasted usage data. In some aspects, the computing device can project unusual energy usage for the billing period based on the second forecasted usage data determined to be greater than usage data for a prior time period. The computing device can generate an alert notification including an indication of the unusual energy usage projection.

Abstract translation: 提供了不带智能电表数据的异常使用警报的技术。 计算设备可以确定一组气候控制分解系数并获得对应于计费周期的至少一部分的天气数据。 反过来，计算设备可以基于气候控制分解系数和天气数据的集合来确定计费周期的至少一部分的第一预测使用数据，并且基于计费周期的长度来确定第二预测使用数据 至少部分地基于第一预测的使用数据。 在一些方面，计算设备可以基于被确定为大于先前时间段的使用数据的第二预测使用数据来投射计费周期的异常能量使用。 计算设备可以生成包括异常能量使用投影的指示的警报通知。