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机译:规模和背景感知卷积非侵入式负载监控
Tsinghua Univ State Key Lab Power Syst Dept Elect Engn Beijing 100084 Peoples R China;
Univ Calif Santa Cruz Dept Elect & Comp Engn Santa Cruz CA 95064 USA;
Swiss Fed Inst Technol Intelligent Maintenance Syst Grp Zurich 8092 Switzerland;
Tsinghua Univ State Key Lab Power Syst Dept Elect Engn Beijing 100084 Peoples R China;
Tsinghua Univ State Key Lab Power Syst Dept Elect Engn Beijing 100084 Peoples R China;
Tsinghua Univ State Key Lab Power Syst Dept Elect Engn Beijing 100084 Peoples R China;
Task analysis; Home appliances; Aggregates; Power demand; Feature extraction; Monitoring; Hidden Markov models; Non-intrusive load monitoring (NILM); convolutional neural network; self-attention; generative adversarial network; energy disaggregation;
机译:基于卷积神经网络的非侵入式负荷监测的实用解决方案
机译:一种用于住宅设备的非侵入式负荷监测的事件驱动卷积神经架构
机译:基于差分输入的卷积神经网络的非侵入式负荷监测
机译:多标签一致卷积变换学习:在非侵入式负载监控中的应用
机译:可扩展的非侵入式负载监控
机译:智能配电板(Smart DB)用于负载设备设备签名识别的非侵入式负载监控(NILM)和用于电网需求管理的智能插座
机译:使用加权复发图和卷积神经网络改进了非侵入式负荷监测中的器具分类