Dynamic Personalized Graph Neural Ordinary Differential Equation Network for Multivariate Time Series Prediction of Chemical Processes

被引：0
|
作者：
Wang, Nan [1 ]
Cao, Yanming [1 ]
Wang, Lei [2 ]
Luo, Fei [1 ]
Li, Xueming [3 ]
Han, Yongming [3 ]
Hu, Xuan [3 ]
机构：
[1] Cnpc PetroChina Planning and Engineering Institute, Key Laboratory of Oil & Gas Business Chain Optimization, Beijing, China
[2] PetroChina Dalian Petrochemical Company, Liaoning, China
[3] College of Information Science and Technology, Beijing University of Chemical Technology Engineering, Research Center of Intelligent Pse, Ministry of Education in China, Beijing, China
来源：
Proceedings of 2024 IEEE 13th Data Driven Control and Learning Systems Conference, DDCLS 2024 | 2024年
基金：
中国国家自然科学基金;
关键词：
Chemical process - Convolutional networks - Graph convolutional network - Graph structure learning - Graph structures - Multiscale modeling - Multivariate time series - Multivariate time series forecasting - Structure-learning - Time series forecasting;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
16
引用
收藏
页码：2044 / 2049
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