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机译:通过协调的BIWWAN和SVDD检测Nontechnical损失
Tsinghua Berkeley Shenzhen Inst Lab Smart Grid & Renewable Energy Shenzhen 518055 Peoples R China;
Tsinghua Berkeley Shenzhen Inst Lab Smart Grid & Renewable Energy Shenzhen 518055 Peoples R China|Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China;
Tsinghua Berkeley Shenzhen Inst Lab Smart Grid & Renewable Energy Shenzhen 518055 Peoples R China|Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China;
State Grid Hangzhou Power Supply Co Hangzhou 311599 Peoples R China;
Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Beijing 100084 Peoples R China;
Feature extraction; Anomaly detection; Gallium nitride; Kernel; Support vector machines; Generative adversarial networks; Task analysis; Anomaly detection; bidirectional Wasserstein GAN and support vector data; hbox{description-based} NTL detector (BSBND); deep learning; generative adversarial network (GAN); nontechnical losses’(NTLs) detection; smart meters; support vector data description (SVDD);
机译:一种准确地检测和校正智能计量技术和非技术损失的算法
机译:基于最优路径森林的非技术性损失检测新方法
机译:非技术性损失的时空估计
机译:非技术性损失检测:基于离散余弦变换和最佳路径森林的方法
机译:基于虚拟坐标的传感器网络中的坐标修复和中间轴检测。
机译:基于最优VMD和SVDD的毫米波雷达传感器FOD检测方法
机译:补丁SVDD:用于异常检测和分割的补丁级SVDD
机译:辐射诱导鱼产品脂溶性碱性化合物的化学和酶促变化的机制导致感官损失,营养价值损失和最终的毒性和致突变性。食品辐照过程的健康协调计划。 1975年12月1日至1978年11月30日期间的最终报告