BUILDING CONTROL SYSTEM WITH EMPIRICAL UNCERTAINTY DETERMINATION FOR ENERGY USE MODEL PARAMETERS
    214.
    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 GENERATING AN ENERGY USAGE MODEL FOR A BUILDING
    215.
    发明申请
    SYSTEMS AND METHODS FOR GENERATING AN ENERGY USAGE MODEL FOR A BUILDING 有权
    用于生成建筑物的能源使用模型的系统和方法

    公开(公告)号:US20160154389A1

    公开(公告)日:2016-06-02

    申请号:US15016243

    申请日:2016-02-04

    Abstract: A building management system (BMS) includes a baseline model generator configured to receive an initial set of predictor variables for potential use in an energy usage model for a building, generate a first set of coefficients for the baseline energy usage model based on the initial set of predictor variables, remove one of the predictor variables from the initial set of predictor variables to create a subset of the initial set of predictor variables, generate a second set of coefficients for the baseline energy usage model based on the subset of the initial set of predictor variables, calculate a test statistic for the removed variable using a difference between the first set of coefficients and the second set of coefficients, and automatically select the removed predictor variable for use in the baseline energy usage model in response the test statistic exceeding a critical value.

    Abstract translation: 建筑物管理系统(BMS)包括基准模型发生器,其被配置为接收用于建筑物的能量使用模型中的潜在用途的初始预测变量集合,基于初始设置生成用于基线能量使用模型的第一组系数 从预测变量的初始集合中去除预测变量中的一个,以创建初始预测变量集合的子集,基于初始集合的初始集合的子集生成用于基线能量使用模型的第二组系数 预测变量,使用第一组系数和第二组系数之间的差异来计算移除的变量的检验统计量,并且自动选择用于基线能量使用模型中的去除的预测变量,以响应超过临界值的检验统计量 值。

    Systems and methods for determining an appropriate model parameter order
    218.
    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 IMPLEMENTING ENERGY CONSERVATION MEASURES IN A BUILDING
    219.
    发明申请
    SYSTEMS AND METHODS FOR IMPLEMENTING ENERGY CONSERVATION MEASURES IN A BUILDING 审中-公开
    在建筑物中实施能源消耗措施的系统和方法

    公开(公告)号:US20160004805A1

    公开(公告)日:2016-01-07

    申请号:US14853957

    申请日:2015-09-14

    Abstract: A set of energy use model parameters for each of a plurality of buildings is used to determine a typical set of energy use model parameters for the plurality of buildings. A distance between the typical set of energy use model parameters and the set of energy use model parameters for each of the plurality of buildings is determined. Each distance is compared to a critical value. A building is identified as a candidate for energy conservation measures in response to the distance for the building exceeding the critical value. Energy conservation measures are implemented in the identified building. Implementing energy conservation measures may include replacing existing HVAC equipment in the identified building with new energy-efficient HVAC equipment.

    Abstract translation: 使用用于多个建筑物中的每一个的一组能量使用模型参数来确定用于所述多个建筑物的典型的能量使用模型参数集合。 确定典型的一组能量使用模型参数与多个建筑物中的每一个的能量使用模型参数的集合之间的距离。 将每个距离与临界值进行比较。 响应于建筑物的距离超过临界值,建筑物被确定为节能措施的候选者。 在确定的建筑物中实施节能措施。 实施节能措施可能包括用新型节能型暖通空调设备替代现有建筑物中的现有HVAC设备。

    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES
    220.
    发明申请
    BUILDING MANAGEMENT SYSTEM FOR FORECASTING TIME SERIES VALUES OF BUILDING VARIABLES 审中-公开
    建筑管理系统预测建筑变量的时间序列值

    公开(公告)号:US20150316907A1

    公开(公告)日:2015-11-05

    申请号:US14717593

    申请日:2015-05-20

    Abstract: A building management system (BMS) includes sensors that measure time series values of building variables and a deterministic model generator that uses historical values for the time series of building variables to train a deterministic model that predicts deterministic values for the time series. The BMS includes a stochastic model generator that uses differences between actual values for the time series and the predicted deterministic values to train a stochastic model that predicts a stochastic value for the time series. The BMS includes a forecast adjuster that adjusts the predicted deterministic values using the predicted stochastic value to generate an adjusted forecast for the time series. The BMS includes a demand response optimizer that uses the adjusted forecast to generate an optimal set of control actions for building equipment of the BMS. The building equipment operate to affect the building variables.

    Abstract translation: 建筑物管理系统(BMS)包括测量建筑变量的时间序列值的传感器和确定性模型生成器,其使用建筑变量的时间序列的历史值来训练预测时间序列的确定性值的确定性模型。 BMS包括使用时间序列的实际值和预测的确定值之间的差异来训练预测时间序列的随机值的随机模型的随机模型发生器。 BMS包括预测调节器,其使用预测的随机值来调整预测的确定值,以产生时间序列的调整后的预测。 BMS包括需求响应优化器,其使用经调整的预测来生成用于建立BMS设备的最佳控制动作集合。 建筑设备操作以影响建筑变量。

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