Long short-term memory deep learning model for predicting the dynamic performance of automotive PEMFC system-Reference-Cited by-同舟云学术

Long short-term memory deep learning model for predicting the dynamic performance of automotive PEMFC system

Published:2023-10 Issue: Volume:14 Page:100278
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Wang Bowen,Yang Zijun,Ji Mingxi,Shan Jing,Ni Meng,Hou Zhongjun^ORCID,Cai Jun,Gu Xin,Yuan Xinjie,Gong Zhichao,Du Qing,Yin Yan,Jiao Kui

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

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4. A cost-effectiveness analysis of fuel cell electric vehicles considering infrastructure costs and greenhouse gas emissions: an empirical case study in Korea;Moon;Energy Technol Assessments,2022

5. Life cycle assessment of fuel cell, electric and internal combustion engine vehicles under different fuel scenarios and driving mileages in China;Yang;Energy,2020

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