A power system missing data filling method based on correlation analysis and generative adversarial network

A power system missing data filling method based on correlation analysis and generative adversarial network

In the novel power system of urban grid, the multiple resources increase and the data collection becomes more difficult, which lead to a higher random missing data rate. It is difficult to meet the demand for refined analysis and decision making. For the frequent missing data problem in the distribu...

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Bibliographic Details
Main Authors: CAI Rong, YANG Xue, TIAN Jiang, ZHAO Qi, WANG Yi
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-01-01
Series:电力工程技术
Subjects:
novel power systems
fluctuating cross-correlation analysis (fcca)
multi-dimensional features
generative adversarial networks (gan)
missing data
kernel principal component analysis (kpca)
intelligent filling
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/230415420

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https://www.epet-info.com/dlgcjsen/article/abstract/230415420

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