Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning-Reference-Cited by-同舟云学术

Real-time optimization of large-scale hydrogen production systems using off-grid renewable energy: Scheduling strategy based on deep reinforcement learning

Published:2024-04 Issue: Volume:224 Page:120177
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Liang Tao^ORCID,Chai Lulu,Cao Xin,Tan Jianxin,Jing Yanwei,Lv Liangnian

Publisher

Elsevier BV

Reference25 articles.

1. Policy optimization of hydrogen energy industry considering government policy preference in China;Zhang;Sustain. Prod. Consum.,2022

2. The industrial development and supporting policies for hydrogen energy for vehicles in Japan;Chen;Contemp. Econ. Jpn.,2021

3. A multivariate coupled economic model study on hydrogen production by renewable energy combined with off-peak electricity;Wu;Int. J. Hydrogen Energy,2022

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