Research on temperature prediction of subway transformer based on LSTM
Author:
Affiliation:
1. China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan,China
2. Beijing Jiaotong University Beijing Rail Transit Electrical Engineering Technology Research Center,School of Electrical Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9844418/9844419/09844506.pdf?arnumber=9844506
Reference7 articles.
1. Forecasting the Short-Term Metro Ridership With Seasonal and Trend Decomposition Using Loess and LSTM Neural Networks
2. Hot-Spot Temperature Forecasting of the Instrument Transformer Using an Artificial Neural Network
3. Transformer Oil Temperature Prediction Based on Long and Short-term Memory Networks
4. Condition Monitoring of 154 kV HTS Cable Systems via Temporal Sliding LSTM Networks
5. LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles
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