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APPARATUS AND METHOD FOR FINE-GRAINED WEATHER NORMALIZATION OF ENERGY CONSUMPTION BASELINE DATA

机译:能耗基线数据的细粒度天气归一化的装置和方法

摘要

An apparatus for estimating a building's energy consumption, including thermal response processor and a regression engine. The thermal response processor generates energy use data sets, each having energy consumption values along with corresponding time and outside temperature values. The consumption values within each of the data sets are shifted by one of a plurality of lag values relative to the time and temperature values, where each of the plurality of lag values is different from other lag values. The thermal response processor performs a regression analysis on each of the energy use data sets to yield corresponding regression model parameters and a corresponding residual. The thermal response processor determines a least valued residual from all residuals yielded by the regression engine, the least valued residual indicating an energy lag for the building, and regression model parameters that correspond to the least valued residual are employed to estimate the energy consumption.
机译:一种估算建筑物能耗的设备,包括热响应处理器和回归引擎。热响应处理器生成能量使用数据集,每个数据集具有能耗值以及相应的时间和外部温度值。每个数据集内的消耗值相对于时间和温度值移动多个滞后值之一,其中多个滞后值中的每个不同于其他滞后值。热响应处理器对每个能源使用数据集执行回归分析,以产生相应的回归模型参数和相应的残差。热响应处理器从回归引擎产生的所有残差中确定最小残差,该最小残差指示建筑物的能量滞后,并且使用对应于最小残差的回归模型参数来估计能耗。

著录项

  • 公开/公告号US2016291067A1

    专利类型

  • 公开/公告日2016-10-06

    原文格式PDF

  • 申请/专利权人 ENERNOC INC.;

    申请/专利号US201514673995

  • 申请日2015-03-31

  • 分类号G01R21/133;G01W1/00;

  • 国家 US

  • 入库时间 2022-08-21 14:34:34

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