An ANN-Embedded MILP approach for optimizing the Steady-State operation of gas pipeline networks

•An ANN-MILP approach is proposed for energy-efficient gas pipeline network operation.•The proposed approach approximates non-convex hydraulic-thermal constraints to linear forms via ReLU-activated ANN.•In a simple linear network, ANN-MILP achieves the same global optimal schemes as DP with 10x spee...

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Vydáno v:	Chemical engineering science Ročník 320; s. 122619
Hlavní autoři:	Zhao, Sirui, Zuo, Lili, Cao, Yankai, Wu, Changchun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.01.2026
Témata:	Artificial neural network Energy efficiency Mixed-integer linear programming Natural gas pipeline networks Operation optimization Energy efficiency Operation optimization Artificial neural network Natural gas pipeline networks Mixed-integer linear programming
ISSN:	0009-2509
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