BUILDING CONTROL SYSTEM WITH EMPIRICAL UNCERTAINTY DETERMINATION FOR ENERGY USE MODEL PARAMETERS
    53.
    发明申请
    BUILDING CONTROL SYSTEM WITH EMPIRICAL UNCERTAINTY DETERMINATION FOR ENERGY USE MODEL PARAMETERS 审中-公开
    建筑物控制系统,用于能量使用模型参数的实际不确定度

    公开(公告)号:US20160246267A1

    公开(公告)日:2016-08-25

    申请号:US15144792

    申请日:2016-05-02

    Abstract: A building control system uses an empirical technique to determine the uncertainty in parameters of an energy use model. The energy use model is used to predict energy consumption of a building site as a function of the model parameters and one or more predictor variables. The empirical technique includes obtaining a set of data points, each of the data points including a value for the one or more predictor variables and an associated energy consumption value for the building site. Multiple samples are generated from the set of data points, each of the multiple samples including a plurality of data points selected from the set of data points. For each of the multiple samples, the model parameters are estimated using the plurality of data points included in the sample. The uncertainty in the model parameters is determined using the multiple estimates of the model parameters.

    Abstract translation: 建筑物控制系统使用经验技术来确定能量使用模型参数的不确定性。 能源使用模型用于根据模型参数和一个或多个预测变量来预测建筑工地的能源消耗。 经验技术包括获得一组数据点,每个数据点包括一个或多个预测变量的值和建筑工地的相关能量消耗值。 从该组数据点生成多个样本,多个样本中的每一个包括从该组数据点中选择的多个数据点。 对于多个样本中的每一个,使用包括在样本中的多个数据点来估计模型参数。 使用模型参数的多个估计来确定模型参数的不确定性。

    Systems and methods for determining an appropriate model parameter order
    54.
    发明授权
    Systems and methods for determining an appropriate model parameter order 有权
    用于确定适当的模型参数顺序的系统和方法

    公开(公告)号:US09256702B2

    公开(公告)日:2016-02-09

    申请号:US14133310

    申请日:2013-12-18

    Abstract: Systems and methods for determining an appropriate parameter order for a building energy use model are provided. A described method includes receiving an energy use model for a building site, obtaining a plurality of data points, calculating a first regression statistic indicating a fit of the energy use model to the plurality of data points under a null hypothesis and a second regression statistic indicating a fit of the energy use model to the plurality of data points under an alternative hypothesis, and comparing a test statistic to a threshold value. The test statistic is a function of the first regression statistic and the second regression statistic. The method further includes determining an appropriate parameter order for the energy use model based on a result of the comparison.

    Abstract translation: 提供了用于确定建筑物能量使用模型的适当参数顺序的系统和方法。 所描述的方法包括接收建筑工地的能量使用模型,获得多个数据点,在零假设下计算指示能量使用模型与多个数据点的拟合的第一回归统计量,以及指示 在替代假设下,将能量使用模型与多个数据点的拟合,以及将检验统计量与阈值进行比较。 检验统计量是第一个回归统计量和第二个回归统计量的函数。 该方法还包括基于比较的结果确定能量使用模型的适当参数顺序。

    SYSTEMS AND METHODS FOR DETERMINING AN APPROPRIATE MODEL PARAMETER ORDER
    55.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING AN APPROPRIATE MODEL PARAMETER ORDER 有权
    用于确定适当的模型参数命令的系统和方法

    公开(公告)号:US20150169795A1

    公开(公告)日:2015-06-18

    申请号:US14133310

    申请日:2013-12-18

    Abstract: Systems and methods for determining an appropriate parameter order for a building energy use model are provided. A described method includes receiving an energy use model for a building site, obtaining a plurality of data points, calculating a first regression statistic indicating a fit of the energy use model to the plurality of data points under a null hypothesis and a second regression statistic indicating a fit of the energy use model to the plurality of data points under an alternative hypothesis, and comparing a test statistic to a threshold value. The test statistic is a function of the first regression statistic and the second regression statistic. The method further includes determining an appropriate parameter order for the energy use model based on a result of the comparison.

    Abstract translation: 提供了用于确定建筑物能量使用模型的适当参数顺序的系统和方法。 所描述的方法包括接收建筑工地的能量使用模型,获得多个数据点,在零假设下计算指示能量使用模型与多个数据点的拟合的第一回归统计量,以及指示 在替代假设下,将能量使用模型与多个数据点的拟合,以及将检验统计量与阈值进行比较。 检验统计量是第一个回归统计量和第二个回归统计量的函数。 该方法还包括基于比较的结果确定能量使用模型的适当参数顺序。

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