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Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices
Transactions of the Institute of Measurement and Control ( IF 1.7 ) Pub Date : 2020-09-04 , DOI: 10.1177/0142331220950865 Zejian Zhou 1, 2 , Yingmeng Xiang 1 , Hao Xu 2 , Yishen Wang 1 , Di Shi 1 , Zhiwei Wang 1
Transactions of the Institute of Measurement and Control ( IF 1.7 ) Pub Date : 2020-09-04 , DOI: 10.1177/0142331220950865 Zejian Zhou 1, 2 , Yingmeng Xiang 1 , Hao Xu 2 , Yishen Wang 1 , Di Shi 1 , Zhiwei Wang 1
Affiliation
Non-intrusive load monitoring (NILM) is a critical technique for advanced smart grid management due to the convenience of monitoring and analysing individual appliances’ power consumption in a non-...
中文翻译：
基于自组织概率神经网络的智能非侵入式负载监测，适用于低成本住宅测量设备
非侵入式负载监控 (NILM) 是高级智能电网管理的一项关键技术，因为它可以方便地在非...
更新日期：2020-09-04
中文翻译：
基于自组织概率神经网络的智能非侵入式负载监测，适用于低成本住宅测量设备
非侵入式负载监控 (NILM) 是高级智能电网管理的一项关键技术，因为它可以方便地在非...
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