Prediction of valve inlet water temperature and cooling evaluation of VSC-HVDC convert valve cooling system based on random forest and bi-directional long short-term memory

Prediction of valve inlet water temperature and cooling evaluation of VSC-HVDC convert valve cooling system based on random forest and bi-directional long short-term memory

In order to realize the intelligent prediction of valve inlet water temperature of a voltage sourced converter-high voltage direct current (VSC-HVDC) valve cooling system, a prediction model of inlet water temperature of VSC-HVDC based on a hybrid model of the random forest (RF) and bi-directional l...

Full description

Bibliographic Details
Main Authors: TANG Wenhu, LIN Zekang, XIN Yanli, ZHAO Wei, WU Liang, JIN Jing
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2023-05-01
Series:电力工程技术
Subjects:
voltage sourced converter-high voltage direct current (vsc-hvdc) convert valve cooling system
machine learning
random forest (rf) algorithm
bi-directional long and short-term memory (bilstm) network
valve water inlet temperature prediction
cooling capacity assessment
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/220715003

Internet

https://www.epet-info.com/dlgcjsen/article/abstract/220715003

Similar Items