Levenberg‐Marquardt backpropagation algorithm for parameter identification of solid oxide fuel cells-Reference-Cited by-同舟云学术

Levenberg‐Marquardt backpropagation algorithm for parameter identification of solid oxide fuel cells

Published:2021-06-17 Issue:12 Volume:45 Page:17903-17923
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Yang Bo¹^ORCID,Chen Yijun¹,Guo Zhengxun¹,Wang Jingbo¹^ORCID,Zeng Chunyuan¹,Li Danyang¹,Shu Hongchun¹,Shan Jieshan¹^ORCID,Fu Ting²,Zhang Xiaoshun³

Affiliation:

1. Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China

2. Faculty of Civil Engineering and Mechanics Kunming University of Science and Technology Kunming China

3. College of Engineering Shantou University Shantou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6929

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5. Economic viability of bitcoin mining using a renewable-based SOFC power system to supply the electrical power demand

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