Power Load Data Cleaning Method Based on DBSCAN Clustering and WGAN Algorithm

The various processes of acquisition and transmission of measurement data are subject to malfunction or interference, resulting in missing data. Traditional data restoration methods ignore the historical load change pattern and have low reconstruction accuracy. In this paper, we first use the DBSCAN...

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Veröffentlicht in:	IEEE International Conference on Power, Intelligent Computing and Systems (Online) S. 652 - 657
Hauptverfasser:	Wei, Liyong, Ding, Yi, Wang, En, Liu, Lixin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.07.2023
Schlagworte:	cluster analysis Clustering algorithms Data reconstruction electricity load fluctuation Generative adversarial networks neural network learning Neural networks Power measurement Real-time systems Time measurement Training WGAN
ISSN:	2834-8567
Online-Zugang:	Volltext
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