An L1-and-L2-regularized nonnegative tensor factorization for power load monitoring data imputation

An L1-and-L2-regularized nonnegative tensor factorization for power load monitoring data imputation

As smart grid advance, Power Load Forecasting (PLF) has become a research hotspot. As the foundation of the forecasting model, the Power Load Monitoring (PLM) data takes on great importance due to its completeness, reliability and accuracy. However, monitoring equipment failures, transmission channe...

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Bibliographic Details
Main Authors: Xing Luo, Zijian Hu, Zhoujun Ma, Zhan Lv, Qu Wang, Aoling Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-07-01
Series:Frontiers in Energy Research
Subjects:
power load forecasting
power load monitoring
missing data
tensor factorization
imputation models
data imputation
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2024.1420449/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2024.1420449/full

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