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Опубликован
2023-03-20
Выпуск
Раздел
Информатика, вычислительная техника
Лицензия
Copyright (c) 2023 Ke Fan, Weijia Liu, Kun He, Zhengke Wang, Shimin Ou; Yanyou Wu
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Как цитировать
Review: the application of artificial intelligence in distribution network engineering field
Ke Fan
Arizona State University, Phoenix, United States
Weijia Liu
Trine University, Phoenix, United States
Kun He
Illinois Institute of Technology, Chicago, United States
Zhengke Wang
Peking university, Beijing, China
Shimin Ou
University of Birmingham, Birmingham, United Kingdom
Yanyou Wu
Trine University, Phoenix, United States
DOI: https://doi.org/10.47813/2782-5280-2023-2-1-0210-0218
Ключевые слова: Aritificial Intelligence, Application of Deep Learning, Target Detection, Computer Vision
Аннотация
The use of deep detection networks can help to enhance the management, reduce workload, and improve the efficiency and quality of dynamic defect detection in distribution network engineering. This involves classifying defects, researching and analyzing advanced deep detection networks and their applications in dynamic defect detection, reviewing existing research, and identifying key issues and their solutions. The paper also explores future research directions to provide useful references for future studies. Overall, the aim is to address potential safety and quality issues and mitigate hazards in the operation of distribution networks.
Биографии авторов
Ke Fan, Arizona State University, Phoenix, United States
Fan Ke, Arizona State University, Phoenix, United States
Weijia Liu, Trine University, Phoenix, United States
Liu Weijia, Trine University, Phoenix, United States
Kun He, Illinois Institute of Technology, Chicago, United States
He Kun, Illinois Institute of Technology, Chicago, United States
Zhengke Wang, Peking university, Beijing, China
Wang Zhengke, Peking university, Beijing, China
Shimin Ou, University of Birmingham, Birmingham, United Kingdom
Ou Shimin, University of Birmingham, Birmingham, United Kingdom
Yanyou Wu, Trine University, Phoenix, United States
Wu Yanyou, Trine University, Phoenix, United States
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