Deep Belief Network-Based Anomaly Recognition Method of Power Supply Service Work Orders
Author:
Affiliation:
1. School of Electrical Engineering, Zhejiang University,Hangzhou,China
2. State Grid Zhejiang Electric Power Co., Ltd.,Marketing Service Center,Hangzhou,China
3. Zhejiang Huayun Information Technology Co., Ltd,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10165685/10164836/10165870.pdf?arnumber=10165870
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3. A method for identifying coherent generators based on non-negative matrix factorization;wu;Automation of Electric Power Systems,2013
4. Application of LSTM deep learning in alteration warning of 95598 telephone orders;luo;Zhejiang Electric Power,2018
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