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1.发明申请SYSTEM AND METHOD FOR ELECTRIC LOAD IDENTIFICATION AND CLASSIFICATION EMPLOYING SUPPORT VECTOR MACHINE 审中-公开使用支持向量机的电力负载识别和分类系统与方法公开(公告)号：US20140067299A1
公开(公告)日：2014-03-06
申请号：US13597324
申请日：2012-08-29
申请人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
发明人： BIN LU , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
CPC分类号： G06K9/00536 , G06K9/0053 , Y04S20/38
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.
摘要翻译： 一种方法识别多个不同电负载的电负载类型。 该方法包括提供多种不同电负载类型的支持向量机负载特征数据库; 感测每个不同电负载的电压信号和电流信号; 根据感测到的电压信号和感测到的电流信号，确定包括至少六个稳态特征的负载特征向量与处理器; 以及通过将包括所述至少六个稳态特征的所述负载特征向量与所述支持向量机负载特征数据库相关联来识别不同的电负载类型之一。
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公开(公告)号：US10325150B2
公开(公告)日：2019-06-18
申请号：US13597324
申请日：2012-08-29
申请人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
发明人： Bin Lu , Ronald G. Harley , Liang Du , Yi Yang , Santosh K. Sharma , Prachi S. Zambare , Mayura A. Madane
摘要： A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.
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