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- W2364173676 abstract "To predict the transmission line rating in the near future accurately,this paper proposes to use the dynamic line rating(DLR) system which can dynamically increase the transmission line rating,and introduce the chaos theory to predict such rating.This paper reconstructs the phase space for the rating time series by using the advantages of high reliability and fast computation of the improved C-C algorithm,and proves that the short-term transmission line rating has the chaotic characteristics and thus can be predicted with the chaos theory.Subsequently,the singular value decomposition(SVD) Volterra filter is presented to predict the chaotic rating time series and the thermal overload risk of a 110kV line with a DLR system installed.The prediction results show that the proposed method can reflect the varying rule of transmission line rating and the thermal overload risks,and improve the accuracy of rating prediction effectively." @default.
- W2364173676 created "2016-06-24" @default.
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- W2364173676 date "2009-01-01" @default.
- W2364173676 modified "2023-09-26" @default.
- W2364173676 title "Prediction of Transmission Line Rating Based on Chaotic Time Series Analysis" @default.
- W2364173676 hasPublicationYear "2009" @default.
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