A bibliographic analysis of optimization of hydrogen production via electrochemical method using machine learning-Reference-Cited by-同舟云学术

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A bibliographic analysis of optimization of hydrogen production via electrochemical method using machine learning

Published:2024-09 Issue: Volume:372 Page:132126
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Iqbal Sadaf,Aftab Kiran,tul Jannat Fakiha,Ali Baig Muhammad,Kalsoom Umme

Publisher

Elsevier BV

Reference98 articles.

1. Just transitions for industrial decarbonisation: A framework for innovation, participation, and justice;Upham;Renew Sustain Energy Rev,2022

2. Techno-economic review on short-term anthropogenic emissions of air pollutants and particulate matter;Sekar;Fuel,2021

3. Global hydrogen development-A technological and geopolitical overview;Lebrouhi;Int J Hydrogen Energy,2022

4. Hydrogen economy and sustainable development goals: Review and policy insights;Falcone;Curr Opin Green Sustainable Chem,2021

5. The hydrogen economy in the 21st century: a sustainable development scenario;Barreto;Int J Hydrogen Energy,2003

Cited by 2 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. Photothermal synergistic catalytic hydrogen production from glycerol based on spectral beam splitting coating: A novel full solar spectrum utilization strategy;Fuel;2024-11

2. Application of the Metalog Probability Distribution Family to Predict Energy Production by Photovoltaic Systems for the Purposes of Generating Green Hydrogen;Energies;2024-07-29

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