Fault prediction of smart meter based on spatio-temporal convolution neural network
The faults of smart meters are sudden, complex and multifaceted. A fault prediction method based on spatio-temporal convolutional neural network(ST-CNN) is proposed. Firstly, the sliding window is used to integrate the time information into the characteristic variables, and the input matrix with spa...
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| Main Authors: | Gao Wenjun, Xue Binbin, Pang Zhenjiang |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
National Computer System Engineering Research Institute of China
2022-03-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000147054 |
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