Modelling the performance of an SOEC by optimization of neural network with MPSO algorithm-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Modelling the performance of an SOEC by optimization of neural network with MPSO algorithm

Published:2019-10 Issue:51 Volume:44 Page:27947-27957
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Han Jing,Wang Xi,Yan Limei,Dahlak Aida^ORCID

Funder

National Key Research and Development

National Natural Science Foundation Project of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference53 articles.

1. The strategy of the smart home energy optimization control of the hybrid energy coordinated control;Xu;Trans China Electrotech Soc,2017

2. Analysis of an optimal PMU configuration method based on incomplete observation;Yang;Concurrency Comput Pract Ex,2019

3. Hydrogen production through steam electrolysis: model-based steady state performance of a cathode-supported intermediate temperature solid oxide electrolysis cell;Udagawa;J Power Sources,2007

4. Computational fluid dynamics modeling of a solid oxide electrolyzer cell for hydrogen production;Ni;Int J Hydrogen Energy,2009

5. Progress in high-temperature electrolysis for hydrogen production using planar SOFC technology;Herring;Int J Hydrogen Energy,2007

Cited by 59 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. An interpretable machine learning-based optimization framework for the optimal design of carbon dioxide to methane process;Energy Conversion and Management;2024-11

2. Modelica-based 1-D dynamic modeling and thermodynamic analysis of power-to-gas systems through solid oxide electrolysis and CO2 methanation;Energy Conversion and Management;2024-10

3. A new pathway to integrate novel coal-to-methanol system with solid oxide fuel cell and electrolysis cell;Energy;2024-09

4. Techno-Economic Optimisation of Green and Clean Hydrogen Production;Process Integration and Optimization for Sustainability;2024-08-14

5. Prediction of Ship Painting Man-Hours Based on Selective Ensemble Learning;Coatings;2024-03-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3