Artificial neural network modeling and optimization of the Solid Oxide Fuel Cell parameters using grey wolf optimizer

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...

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Bibliographic Details
Main Authors: Xinxiao Chen, Zhuo Yi, Yiyu Zhou, Peixi Guo, Saeid Gholami Farkoush, Hossein Niroumandi
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Energy Reports
Subjects:
Solid oxide fuel cell
Parameter identification
Grey Wolf Optimizer
Artificial neural network
Performance improvement
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721003541

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