Data-driven prediction method for characteristics of voltage sag based on fuzzy time series

•The prediction method for voltage sag events is guided by the classical fuzzy time-series prediction method.•This paper proposes a data preprocess method to eliminate redundant monitoring data and obtain better prediction performance.•This method introduces Fuzzy C-Means Algorithm to transform moni...

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Bibliographic Details

Published in:	International journal of electrical power & energy systems Vol. 134; p. 107394
Main Authors:	Wang, Ying, Yang, Min-hui, Zhang, Hua-ying, Wu, Xian, Hu, Wen-xi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2022
Subjects:	Fuzzy c-means algorithm Fuzzy time series Hidden Markov model Homologous aggregation Voltage sag Hidden Markov model Fuzzy time series Fuzzy c-means algorithm Voltage sag Homologous aggregation
ISSN:	0142-0615
Online Access:	Get full text
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