Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines

Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines

With the increasing complexity of power systems, the monitoring data of UPFC submodules suffers from high missing rates due to sensor failures and environmental interference, significantly limiting equipment condition assessment and fault warning capabilities. To overcome the computational complexit...

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Bibliographic Details
Main Authors: Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
unified power flow controller (UPFC)
Bayesian multiple imputation
support vector machine
data restoration
Online Access:https://www.mdpi.com/1996-1073/18/10/2535
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