Yongtu Liang
Affiliations:- China University of Petroleum, Beijing, China
According to our database1,
Yongtu Liang
authored at least 29 papers
between 2016 and 2024.
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Bibliography
2024
A physics-enhanced multi-modal fused neural network for predicting contamination length interval in pipeline.
CoRR, 2024
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation.
CoRR, 2024
2023
Comput. Chem. Eng., July, 2023
A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants.
Eng. Appl. Artif. Intell., 2023
Pipeline pricing and logistics planning in the refined product supply chain based on fair profit distribution.
Comput. Ind. Eng., 2023
2022
Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling.
Comput. Chem. Eng., 2022
Resilience assessment of the downstream oil supply chain considering the inventory strategy in extreme weather events.
Comput. Chem. Eng., 2022
Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening.
Comput. Chem. Eng., 2022
2021
Reliab. Eng. Syst. Saf., 2021
Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters.
Comput. Chem. Eng., 2021
Comput. Chem. Eng., 2021
Scheduling of a branched multiproduct pipeline system with robust inventory management.
Comput. Ind. Eng., 2021
2020
An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure.
Reliab. Eng. Syst. Saf., 2020
An online real-time estimation tool of leakage parameters for hazardous liquid pipelines.
Int. J. Crit. Infrastructure Prot., 2020
2019
Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory.
Int. J. Crit. Infrastructure Prot., 2019
A leakage risk assessment method for hazardous liquid pipeline based on Markov chain Monte Carlo.
Int. J. Crit. Infrastructure Prot., 2019
A hybrid time MILP model for the pump scheduling of multi-product pipelines based on the rigorous description of the pipeline hydraulic loss changes.
Comput. Chem. Eng., 2019
A MILP model for the detailed scheduling of multiproduct pipelines with the hydraulic constraints rigorously considered.
Comput. Chem. Eng., 2019
A MINLP model for the optimal waterflooding strategy and operation control of surface waterflooding pipeline network considering reservoir characteristics.
Comput. Chem. Eng., 2019
New batch-centric model for detailed scheduling and inventory management of mesh pipeline networks.
Comput. Chem. Eng., 2019
Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price.
Comput. Ind. Eng., 2019
A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption.
IEEE Access, 2019
IEEE Access, 2019
2018
IEEE Trans. Ind. Informatics, 2018
J. Comput. Appl. Math., 2018
A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development.
Comput. Chem. Eng., 2018
A MILP model based on flowrate database for detailed scheduling of a multi-product pipeline with multiple pump stations.
Comput. Chem. Eng., 2018
Appl. Soft Comput., 2018
2016
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016