Deep reinforcement learning based energy management of a hybrid electricity-heat-hydrogen energy system with demand response-Reference-Cited by-同舟云学术

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Deep reinforcement learning based energy management of a hybrid electricity-heat-hydrogen energy system with demand response

Published:2024-10 Issue: Volume:305 Page:131874
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Ye Jin,Wang Xianlian,Hua Qingsong,Sun Li^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Sustainable development using renewable energy technology;Østergaard;Renew Energy,2020

2. A review on configurations, control and sizing methodologies of hybrid energy systems;Upadhyay;Renew Sustain Energy Rev,2014

3. Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis;Naderipour;Energy,2022

4. Hydrogen production by PEM water electrolysis–A review;Kumar;Materials Science for Energy Technologies,2019

5. Hydrogen production technologies: from fossil fuels toward renewable sources. A mini review;Megia;Energy & Fuels,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review;International Journal of Hydrogen Energy;2024-08

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