Electrical Power Edge-End Interaction Modeling with Time Series Label Noise Learning

Electrical Power Edge-End Interaction Modeling with Time Series Label Noise Learning

In the context of electrical power systems, modeling the edge-end interaction involves understanding the dynamic relationship between different components and endpoints of the system. However, the time series of electrical power obtained by user terminals often suffer from low-quality issues such as...

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Bibliographic Details
Main Authors: Zhenshang Wang, Mi Zhou, Yuming Zhao, Fan Zhang, Jing Wang, Bin Qian, Zhen Liu, Peitian Ma, Qianli Ma
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
electrical power applications
data mining
time series
noisy label
Online Access:https://www.mdpi.com/2079-9292/12/18/3987

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https://www.mdpi.com/2079-9292/12/18/3987

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