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Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate

机译：低采样率电动汽车充电的无训练非侵入式负荷监测

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Zhilin Zhang; Jae Hyun Son; Ying Li; Mark Trayer; Zhouyue Pi; Dong Yoon Hwang; Joong Ki Moon;
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年度 2016
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1. Non-Intrusive Appliances Load Monitoring (NILM) for Energy Conservation in Household with Low Sampling Rate [J] . Somchai Biansoongnern, Boonyang Plungklang Procedia Computer Science . 2016,第1期

机译：非采样设备低采样率家庭节能监控（NILM）
2. Can public slow charging accelerate plug-in electric vehicle sales? A simulation of charging infrastructure usage and its impact on plug-in electric vehicle sales for Germany [J] . Gnann Till, Ploetz Patrick, Wietschel Martin International journal of sustainable transportation . 2019,第6a10期

机译：公众缓慢充电能否促进插电式电动汽车的销售？模拟充电基础设施的使用情况及其对德国插电式电动汽车销售的影响
3. Can public slow charging accelerate plug-in electric vehicle sales? A simulation of charging infrastructure usage and its impact on plug-in electric vehicle sales for Germany [J] . Gnann Till, Ploetz Patrick, Wietschel Martin International journal of sustainable transportation . 2019,第6a10期

机译：公共慢充电可以加速插入式电动汽车销售吗？对德国充电基础设施用法的模拟及其对电动汽车销售的影响
4. Training-free non-intrusive load monitoring of electric vehicle charging with low sampling rate [C] . Zhang Zhilin, Son Jae Hyun, Li Ying, Annual Conference of the IEEE Industrial Electronics Society . 2014

机译：低采样率的电动汽车充电的免培训非侵入式负载监控
5. Non-intrusive monitoring of electrical loads based on switching transient voltage analysis: Signal acquisition and features extraction. [D] . Duarte Gualdron, Cesar Antonio. 2013

机译：基于开关瞬态电压分析的非侵入式电气负载监控：信号采集和特征提取。
6. Smart Distribution Boards (Smart DB) Non-Intrusive Load Monitoring (NILM) for Load Device Appliance Signature Identification and Smart Sockets for Grid Demand Management [O] . See Gim Kerk, Naveed UL Hassan, Chau Yuen 2020

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7. Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate [O] . Zhang, Zhilin, Son, Jae Hyun, Li, Ying, 2014

机译：电动汽车充电的无训练非侵入式负荷监测低采样率

Training-Free Non-Intrusive Load Monitoring of Electric Vehicle Charging with Low Sampling Rate

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