Machine-learning-based capacity prediction and construction parameter optimization for energy storage salt caverns-Reference-Cited by-同舟云学术

Machine-learning-based capacity prediction and construction parameter optimization for energy storage salt caverns

Published:2022-09 Issue: Volume:254 Page:124238
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Li Jinlong^ORCID,Wang ZhuoTeng,Zhang Shuai,Shi Xilin^ORCID,Xu Wenjie,Zhuang Duanyang,Liu Jia,Li Qingdong,Chen Yunmin

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

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4. Comprehensive risk evaluation of underground energy storage caverns in bedded rock salt;Zhang;J Loss Prev Process Ind,2016

5. Report of working committee 2: underground gas storage,2018

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