Real time hydrogen plume spatiotemporal evolution forecasting by using deep probabilistic spatial-temporal neural network-Reference-Cited by-同舟云学术

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Real time hydrogen plume spatiotemporal evolution forecasting by using deep probabilistic spatial-temporal neural network

Published:2024-06 Issue: Volume:72 Page:878-891
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Li Junjie^ORCID,Xie Zonghao,Liu Kang,Shi Jihao,Wang Tao,Chang Yuanjiang,Chen Guoming

Publisher

Elsevier BV

Reference48 articles.

1. Hydrogen energy systems: a critical review of technologies, applications, trends and challenges;Yue;Renew Sustain Energy Rev,2021

2. Hydrogen safety engineering framework and elementary design safety tools;Saffers;Int J Hydrogen Energy,2014

3. Towards the hydrogen economy?;Marbán;Int J Hydrogen Energy,2007

4. Recent advancement and assessment of green hydrogen production technologies;Zainal;Renew Sustain Energy Rev,2024

5. Review of hydrogen safety during storage, transmission, and applications processes;Abohamzeh;J Loss Prev Process Ind,2021

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