A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning

A novel optimization framework for natural gas transportation pipeline networks based on deep reinforcement learning

Natural gas is an emerging and reliable energy source in transition to a low-carbon economy. The natural gas transportation pipeline network systems are crucial when transporting natural gas from the production endpoints to processing or consuming endpoints. Optimizing the operational efficiency of...

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Bibliographic Details
Main Authors: Zemin Eitan Liu, Wennan Long, Zhenlin Chen, James Littlefield, Liang Jing, Bo Ren, Hassan M. El-Houjeiri, Amjaad S. Qahtani, Muhammad Y. Jabbar, Mohammad S. Masnadi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Energy and AI
Subjects:
Transmission pipeline network
Deep reinforcement learning
Mathematical model
Energy optimization
Markov decision process
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824001009
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