PROBABILISTIC MODEL-BASED VIRTUAL DISTRIBUTED RESOURCE MANAGEMENT SYSTEM AND METHOD THEREOF
    2.
    发明申请
    PROBABILISTIC MODEL-BASED VIRTUAL DISTRIBUTED RESOURCE MANAGEMENT SYSTEM AND METHOD THEREOF 审中-公开
    基于概念模型的虚拟分布式资源管理系统及其方法

    公开(公告)号:US20160149407A1

    公开(公告)日:2016-05-26

    申请号:US14947349

    申请日:2015-11-20

    CPC classification number: H02J3/00 H02J2003/007 Y02E60/76 Y04S40/22

    Abstract: A probabilistic model-based virtual distributed resource management system includes: a resource collecting unit collecting distributed resource state information from a plurality of distributed resources; and a virtual distributed resource management server monitoring the plurality of distributed resources by using the distributed resource state information collected by the resource collecting unit and changing the distributed resources by calculating availabilities and driving probabilities of the plurality of respective distributed resources.

    Abstract translation: 基于概率模型的虚拟分布式资源管理系统包括:资源收集单元,从多个分布式资源收集分布式资源状态信息; 以及虚拟分布式资源管理服务器,通过使用由所述资源收集单元收集的分布式资源状态信息来监视所述多个分散资源,并且通过计算所述多个分散资源的可用性和驱动概率来改变所述分布式资源。

    APPARATUS AND METHOD FOR FORECASTING ENERGY CONSUMPTION
    3.
    发明申请
    APPARATUS AND METHOD FOR FORECASTING ENERGY CONSUMPTION 审中-公开
    用于预测能源消耗的装置和方法

    公开(公告)号:US20140095415A1

    公开(公告)日:2014-04-03

    申请号:US13916309

    申请日:2013-06-12

    CPC classification number: G06N20/00

    Abstract: An apparatus for forecasting energy consumption includes a load data collection unit to collect low level data related to energy load data. The apparatus includes a filtering/attribute selection unit to eliminate duplicated attributes from attributes of low level data to produce an optimal attribute set. The apparatus includes a training unit produces a multi-class in which a plurality of single classes is hierarchically coupled in at least two levels and creates training data used for forecasting the energy consumption based on the produced multi-class. The apparatus includes a forecasting unit calculates the energy consumption to be forecasted on a basis of the real-time low level data, the multi-class and the training data. Therefore, it is possible to contribute to the progressive expansion and update of a cooling load forecasting system.

    Abstract translation: 用于预测能量消耗的装置包括负载数据收集单元,用于收集与能量负荷数据相关的低电平数据。 该装置包括滤波/属性选择单元,以从低级数据的属性中消除重复的属性以产生最佳属性集。 所述装置包括训练单元,其产生多级,其中多个单个类别在至少两个级别中被分层耦合,并且创建用于基于所产生的多类预测能量消耗的训练数据。 该装置包括预测单元,基于实时低电平数据,多级和训练数据来计算要预测的能量消耗。 因此,可以有助于冷却负荷预测系统的逐渐扩展和更新。

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