Prediction for Dissolved Gas in Power Transformer Oil Based On TCN and GCN-Reference-Cited by-同舟云学术

Prediction for Dissolved Gas in Power Transformer Oil Based On TCN and GCN

Author:

Luo Diansheng¹^ORCID,Fang Jie¹^ORCID,He Hongying¹^ORCID,Lee Wei-Jen²^ORCID,Zhang Zhenyuan³^ORCID,Zai Hongtao⁴,Chen Wengang⁴,Zhang Ke⁴

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

3. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. State Grid Jincheng Power Supply Company, Jincheng, China

Funder

Science and Technology Project of State Grid Shanxi Electric Power Company, Ltd.

National Key Research and Development Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

Reference30 articles.

1. Semi-supervised classification with graph convolutional networks;kipf;Proc Int Conf Learn Represent,0

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4. Power Transformer Asset Management Based on State Monitoring;2023 International Conference on Power System Technology (PowerCon);2023-09-21