A method for identifying specific load state of distribution network

Hu Peidong, Liu Zhiguo,Ye Zhi,Liu Xiaoping,Xie Xiong, Wang Zhi,Zeng Weijie

2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)（2021）

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摘要

Non-intrusive load monitoring (NILM) is a key component in the identification of smart electricity usage. Since there are many types of loads connected to the distribution network at the same time, that of them have variable frequency functions and do not have the characteristics of constant power, the existing load identification methods that focus on households are difficult to directly apply to...

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关键词

non-invasive load monitoring,convolutional neural network,differential feature extraction,distribution network

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