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    • 1. 发明授权
    • Systems and methods for predictive building energy monitoring
    • 预测建筑能量监测的系统和方法
    • US08653968B2
    • 2014-02-18
    • US12646764
    • 2009-12-23
    • Matthew BrownChristopher Barrington-LeighChristopher PorterNeil Gentleman
    • Matthew BrownChristopher Barrington-LeighChristopher PorterNeil Gentleman
    • G08B1/08
    • H02J13/0062F24F11/46F24F2140/60G06Q10/04G06Q50/06H02J3/00H02J2003/003Y02B90/2638Y04S40/124
    • A system and method for predictive modeling of building energy consumption provides predicted building energy load values which are determined using kernel smoothing of historical building energy load values for a building using defined scaling factors for scaling predictor variables associated with building energy consumption. Predictor variables may include temperature, humidity, windspeed or direction, occupancy, time, day, date, and solar radiation. Scaling factor values may be defined by optimization training using historical building energy load values and measured predictor variable values for a building. Predicted and measured building energy load values are compared to determine if a preset difference threshold has been exceeded, in which case an alert signal or message is generated and transmitted to electronically and/or physically signal a user. The building energy monitoring system may be integrated with a building automation system, or may be operated as a separate system receiving building energy and predictor variable values.
    • 建筑能耗预测建模的系统和方法提供了预测的建筑物能量负荷值,其使用内部平滑建筑物的历史建筑物能量负荷值确定的建筑物能量负荷值,使用定义的缩放因子来缩放与建筑能耗相关联的预测变量。 预测变量可能包括温度,湿度,风速或方向,占用率,时间,日期,日期和太阳辐射。 缩放因子值可以通过使用历史建筑物能量负荷值和建筑物的测量预测变量值的优化训练来定义。 比较预测和测量的建筑物能量负载值以确定是否已经超过预设的差异阈值,在这种情况下,生成警报信号或者将信息发送到电子和/或物理地向用户发出信号。 建筑能量监测系统可以与楼宇自动化系统集成,或者可以作为接收建筑能量和预测变量值的单独系统来操作。
    • 2. 发明申请
    • SYSTEMS AND METHODS FOR PREDICTIVE BUILDING ENERGY MONITORING
    • 用于预测建筑能源监测的系统和方法
    • US20110153103A1
    • 2011-06-23
    • US12646764
    • 2009-12-23
    • Matthew BrownChristopher Barrington-LeighChristopher Porter
    • Matthew BrownChristopher Barrington-LeighChristopher Porter
    • G06F1/26G08B21/00
    • H02J13/0062F24F11/46F24F2140/60G06Q10/04G06Q50/06H02J3/00H02J2003/003Y02B90/2638Y04S40/124
    • A system and method for predictive modeling of building energy consumption provides predicted building energy load values which are determined using kernel smoothing of historical building energy load values for a building using defined scaling factors for scaling predictor variables associated with building energy consumption. Predictor variables may include temperature, humidity, windspeed or direction, occupancy, time, day, date, and solar radiation. Scaling factor values may be defined by optimization training using historical building energy load values and measured predictor variable values for a building. Predicted and measured building energy load values are compared to determine if a preset difference threshold has been exceeded, in which case an alert signal or message is generated and transmitted to electronically and/or physically signal a user. The building energy monitoring system may be integrated with a building automation system, or may be operated as a separate system receiving building energy and predictor variable values.
    • 建筑能耗预测建模的系统和方法提供了预测的建筑物能量负荷值,其使用内部平滑建筑物的历史建筑物能量负荷值确定的建筑物能量负荷值,使用定义的缩放因子来缩放与建筑能耗相关联的预测变量。 预测变量可能包括温度,湿度,风速或方向,占用率,时间,日期,日期和太阳辐射。 缩放因子值可以通过使用历史建筑物能量负荷值和建筑物的测量预测变量值的优化训练来定义。 比较预测和测量的建筑物能量负载值以确定是否已经超过预设的差异阈值,在这种情况下,生成警报信号或者将信息发送到电子和/或物理地向用户发出信号。 建筑能量监测系统可以与楼宇自动化系统集成,或者可以作为接收建筑能量和预测变量值的单独系统来操作。