Parameter estimation of submarine power cables in offshore applications using machine learning-based methods

Parameter estimation of submarine power cables in offshore applications using machine learning-based methods

Monitoring electrical parameters of power transmission systems is essential to ensure reliability and optimal operating conditions. This research presents an accurate methodology for estimation of the sequence parameters of submarine power cables using a data-driven approach based synchrophasor meas...

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Bibliographic Details
Main Authors: Felipe P. de Albuquerque, Rafael Nascimento, Gabriel de Castro Biage, Rooney R.A. Coelho, Ronaldo F. Ribeiro Pereira, Eduardo C. Marques da Costa, Mario L. Pereira Filho, Cassio G. Lopes, José R. Cardoso
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Submarine cables
Parameter estimation
Machine learning
Phasor measurements
Power transmission
Online Access:http://www.sciencedirect.com/science/article/pii/S0142061525004880
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