Prediction Model of Dissolved Gas in Transformer Oil Based on EMD and BiGRU

Author:

Yong Li1,Lei Zhu1,Ziqiang Xu1,Yusong Xiao2,Xuebiao Ji1

Affiliation:

1. Nanjing Power Supply Company,Jiangsu Electric Power Company,Nanjing,China

2. Hohai University,College of Energy and Electrical Engineering,Nanjing,China

Publisher

IEEE

Reference16 articles.

1. Prediction Model of Dissolved Gas in Transformer Oil Based on Variational Modal Decomposition and Recurrent Neural Network with Gated Recurrent Unit [J];xie;High Voltage Engineering,2022

2. POWER TRANSFORMER PROTECTION USING WAVELETS;ramesh;International Journal of Electrical and Electronic Engineering & Telecommunications,2014

3. Concentration prediction method based on Seq2Seq network improved by BI-GRU for dissolved gas in transformer oil[J];tang;Electric Power Automation Equipment,2022

4. Prediction Method of Dissolved Gas Concentration in Transformer 0il Based on CNN. BiLSTM Model [J];li;Journal of the china railway society,2022

5. Concentration Prediction of Dissolved Gases in Transformer Oil Based on Wavelet Decomposition and Long Short-term Memory Network[J];zhang;Power System Technology,2021

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