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：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。