NON-INTRUSIVE APPLIANCE LOAD IDENTIFICATION USING CASCADED COGNITIVE LEARNING
    1.
    发明申请
    NON-INTRUSIVE APPLIANCE LOAD IDENTIFICATION USING CASCADED COGNITIVE LEARNING 审中-公开
    非侵入式器具识别使用CASCADED认知学习

    公开(公告)号:US20100305889A1

    公开(公告)日:2010-12-02

    申请号:US12472650

    申请日:2009-05-27

    CPC classification number: G06N7/005 G01D1/00 G01D15/00

    Abstract: A method of identifying energy consumption associated with at least one appliance is provided. The method includes measuring an energy consumption signal, obtaining publicly available information of a location of the at least one appliance and estimating a plurality of probabilities of energized appliances based on the energy consumption signal and the publicly available information. The method further includes generating a new combination of the estimated plurality of probabilities of energized appliances and decomposing the at least one energy consumption signal into constituent individual loads and corresponding energy consumption.

    Abstract translation: 提供了一种识别与至少一个器具相关联的能量消耗的方法。 该方法包括测量能量消耗信号,获得至少一个设备的位置的公开可用信息,并且基于能量消耗信号和公开可用信息来估计通电设备的多个概率。 所述方法还包括产生所估计的多个能量装置的概率的新组合,并将所述至少一个能量消耗信号分解为组成的各个负载和对应的能量消耗。

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