Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems

Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems

Predicting the cooling capacity of converter valves is crucial for maintaining the stability and efficiency of high-voltage direct current (HVDC) systems. This task involves handling complex, multi-dimensional time-series data with strong inter-variable dependencies and temporal dynamics. Traditiona...

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Bibliographic Details
Main Authors: Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
cooling capacity prediction
graph neural networks
temporal dynamics
industrial applications
predictive maintenance
Online Access:https://www.mdpi.com/1996-1073/18/2/313
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