Dynamic thermal line rating model of conductor based on prediction of meteorological parameters

The main contributions of this article are as follows:•Proposing a new DTLR prediction model based on knowledge-driven and data-driven.•Preprocessing of the data is done by using VMD combined with PACF.•Optimizing the hyperparameters of the BiLSTM model by the NGO algorithm.•Proposing an objective f...

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Veröffentlicht in:	Electric power systems research Jg. 224; S. 109726
Hauptverfasser:	Song, Tianhua, Teh, Jiashen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2023
Schlagworte:	Deep learning Dynamic thermal line rating Forecasting algorithm Optimal economic dispatch Optimization algorithm Deep learning Optimization algorithm Optimal economic dispatch Dynamic thermal line rating Forecasting algorithm
ISSN:	0378-7796
Online-Zugang:	Volltext
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