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Systems and methods for regression-based determination of expected energy consumption and efficient energy consumption

机译:基于回归的能量消耗和有效能耗的基于回归的系统和方法

摘要

Various embodiments of the present disclosure can include systems, methods, and non-transitory computer readable media configured to identify a set of features associated with at least one of a collection of residences or an energy billing period. Measured energy consumption information and a plurality of feature values can be acquired for each residence in the collection of residences. Each feature value in the plurality of feature values can correspond to a respective feature in the set of features. A regression model can be trained based on the measured energy consumption information and the plurality of features values for each residence in the collection of residences. At least one expected consumption value and at least one efficient consumption value can be determined based on the regression model.
机译:本公开的各种实施例可以包括系统,方法和非暂时性计算机可读介质,其被配置为识别与附近的集合中的至少一个相关联的一组特征或能量计费时段。可以在居住集合中的每个居住地获取测量的能量消耗信息和多个特征值。多个特征值中的每个特征值可以对应于该组特征中的相应特征。可以基于测量的能量消耗信息和居住集合中的每个居住的测量能耗信息和多个特征值进行回归模型。可以基于回归模型来确定至少一个预期的消耗值和至少一个有效的消耗值。

著录项

  • 公开/公告号US11010847B2

    专利类型

  • 公开/公告日2021-05-18

    原文格式PDF

  • 申请/专利权人 C3.AI INC.;

    申请/专利号US201916427066

  • 申请日2019-05-30

  • 分类号G06Q50/06;G06Q10/06;

  • 国家 US

  • 入库时间 2022-08-24 18:43:12

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