Insulator leakage current prediction based on generative adversarial networks and optimized support vector regression with crisscross optimization algorithm-Reference-Cited by-同舟云学术

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Insulator leakage current prediction based on generative adversarial networks and optimized support vector regression with crisscross optimization algorithm

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)
language:
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Author:

Wen Huiting¹,Zhang Jianfeng¹,Wen Huikang²,Wu Jian³,Zhao Xiaoning⁴,Lin Weili¹,Zhang Haitao⁵

Affiliation:

1. Meizhou Power Supply Bureau, Guangdong Power Grid Co., Ltd.,Meizhou,China

2. Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd.,Jiangmen,China

3. Shannwei Power Supply Bureau, Guangdong Power Grid Co., Ltd.,Shannwei,China

4. Emergency and Risk Management Center of Guangdong Power Grid Co.,Ltd.,Guangzhou,China

5. School of Automation, Guangdong University of Technology.,Guangzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030083/10030092/10030195.pdf?arnumber=10030195

Reference15 articles.

1. Crisscross optimization algorithm and its application

2. A novel asexual-reproduction evolutionary neural network for wind power prediction based on generative adversarial networks;yin;Energy Conversion and Management,2021

3. A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network

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