PEM

作品数：455被引量：1154H指数：15
导出分析报告
相关领域：电气工程医药卫生更多>>
相关作者：孙红詹志刚潘牧吴玉厚俞红梅更多>>
相关机构：中国科学院武汉理工大学沈阳建筑大学华北电力大学更多>>
相关期刊：更多>>
相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中央高校基本科研业务费专项资金更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 期刊=Energy and AIx
共 条 记 录，以下是1-5
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM
《Energy and AI》2024年第4期76-85,共10页Boshi Xu Wenbiao Ma Wenyan Wu Yang Wang Yang Yang Jun Li Xun Zhu Qiang Liao 
financial supports of National Key Research and Development Program of China(No.2021YFB4000100);National Natural Science Foundation of China(No.52322604).
The performance degradation is a crucial factor affecting the commercialization of proton exchange membrane electrolyzer.However,it is difficult to establish a mechanism model incorporating all degradation categories ...
关键词：Pem water electrolyzer DEGRADATION Dynamic operation Machine learning CNN-LSTM 
A review of control strategies for proton exchange membrane(PEM)fuel cells and water electrolysers:From automation to autonomy
《Energy and AI》2024年第3期470-486,共17页Jiahao Mao Zheng Li Jin Xuan Xinli Du Meng Ni Lei Xing 
support received from UK EPSRC under grant numbers EP/W018969/2,EP/V042432/1 and EP/V011863/2;the Leverhulme Trust under grant number PLP-2022-001.
Proton exchange membrane (PEM) based electrochemical systems have the capability to operate in fuel cell (PEMFC) and water electrolyser (PEMWE) modes, enabling efficient hydrogen energy utilisation and green hydrogen ...
关键词：PEMFC PEMWE Control Management system AI 
An improved probabilistic load flow in distribution networks based on clustering and Point estimate methods被引量：1
《Energy and AI》2023年第4期253-261,共9页Morsal Salehi Mohammad Mahdi Rezaei 
Clustering approaches are one of the probabilistic load flow(PLF)methods in distribution networks that can be used to obtain output random variables,with much less computation burden and time than the Monte Carlo simu...
关键词：Probabilistic load flow(PLF) Distribution network(DN) Monte Carlo simulation(MCS) k-means clustering(KMC) Point estimate method(PEM) 
Analysis of PEM and AEM electrolysis by neural network pattern recognition, association rule mining and LIME被引量：1
《Energy and AI》2023年第3期169-181,共13页M.Erdem Gunay N.Alper Tapan 
In this work,as an extension of previous machine learning studies,three novel techniques,namely local inter-pretable model-agnostic explanations(LIME),neural network pattern recognition and association rule mining(ARM...
关键词：Machine learning Data mining Hydrogen production Current density 
Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology被引量：10
《Energy and AI》2020年第1期187-218,共32页Yun Wang Bongjin Seo Bowen Wang Nada Zamel Kui Jiao Xavier Cordobes Adroher 
Polymer electrolyte membrane(PEM)fuel cells are electrochemical devices that directly convert the chemical energy stored in fuel into electrical energy with a practical conversion efficiency as high as 65%.In the past...
关键词：PEM Fuel cell FUNDAMENTAL Material Machine learning Artificial intelligence Physics-informed 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部