Heavy Overload Transformer Oil Temperature Prediction Method Based on Multivariate Spatio-Temporal Convolutional Network-Reference-Cited by-同舟云学术

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Heavy Overload Transformer Oil Temperature Prediction Method Based on Multivariate Spatio-Temporal Convolutional Network

Published:2024-05-10 Issue: Volume:37 Page:920-923
ISSN:
Container-title:2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE)
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Author:

Qin Jinfei¹,Li Binbin¹,Luo Sha²,Huang Weimin²,Lu Yixiang³,Lyu Junwen³

Affiliation:

1. State Grid Anhui Electric Power Co., Ltd., Power Science Research Institute,China

2. Anhui Electric Power Company Limited,The Equipment Department of State Grid,China

3. College of Electrical Engineering and Automation, Anhui University,Hefei,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652598/10652600/10653428.pdf?arnumber=10653428

Reference12 articles.

1. An online learning method for constructing self-update digital twin model of power transformer temperature prediction

2. Learning Data-Driven Stable Corrections of Dynamical Systems—Application to the Simulation of the Top-Oil Temperature Evolution of a Power Transformer

3. Thermal-hydraulic model for temperature prediction on oil-directed power transformers

4. Prediction of top-oil temperature for transformers using neural networks

5. Transformer top oil temperature interval prediction based on kernel extreme learning machine and bootstrap method[C];Qi,2017

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