Prediction of dissolved gas volume fraction in transformer oil based on CVMD and LSTM-Reference-Cited by-同舟云学术

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Prediction of dissolved gas volume fraction in transformer oil based on CVMD and LSTM

Published:2024-03-01 Issue: Volume: Page:796-801
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
language:
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Author:

Fu Chunming¹,Chen Xiaolin²,Li Zhen³,Xu Bing⁴,Min Haoxue¹,Wang Kun¹,Liu Yanchun¹,Li Gen⁵

Affiliation:

1. Shandong Electrical Engineering & Equipment Group Digtal Technology Co., Ltd.,Jinan,China

2. China Electrical Equipment Group Co.,Ltd.,Shanghai,China

3. State Grid Shandong Electric Extrahigh Voltage Company,Jinan,China

4. State Grid Jilin Electric Power Co., Ltd.,Baicheng Power Supply Company,Baicheng,China

5. State Grid Yishui Power Supply Company,Linyi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548541.pdf?arnumber=10548541

Reference15 articles.

1. Short Term Load Forecasting of Power System

2. A prediction approach with mode decomposition-recombination technique for short-term load forecasting

3. A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes

4. Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm

5. Short-term load forecasting based on big data technologies

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