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Review: the application of artificial intelligence in distribution network engineering field

Ke FanArizona State University, Phoenix, United StatesWeijia LiuTrine University, Phoenix, United StatesKun HeIllinois Institute of Technology, Chicago, United StatesZhengke WangPeking university, Beijing, ChinaShimin OuUniversity of Birmingham, Birmingham, United KingdomYanyou WuTrine University, Phoenix, United States
2023en
ABI

Annotatsiya

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.

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