Long Short-Term Memory and Graph Convolution Network for Forecasting the Crude Oil Traffic Flow

Long Short-Term Memory and Graph Convolution Network for Forecasting the Crude Oil Traffic Flow

Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. Crude oil is the most imported energy in the world. Investigating the crude oil maritime network status and pred...

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Bibliographic Details
Main Authors:	Qi Ouyang, Tengda Sun, Yuanyuan Xue, Zhehui Liu
Format:	Article
Language:	English
Published:	IEEE 2022-01-01
Series:	IEEE Access
Subjects:	Crude oil transportation network traffic flow graph convolution network
Online Access:	https://ieeexplore.ieee.org/document/9709828/

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