Artificial neural network modeling and optimization of the Solid Oxide Fuel Cell parameters using grey wolf optimizer
Using Green and carbon-free energy sources is a new concept in the energy conversion, power generation, and energy management framework. Since there is a relatively small number of neural network applications in the field of fuel cells, especially in the case of solid oxide fuel cells, this work ado...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721003541 |