Power Output Prediction Method for Fuel Cell Based on Improved Genetic Algorithm Optimized Back Propagation Neural Network Model

Solid oxide fuel cells (SOFC) possess efficient and clean energy conversion characteristics, enabling the direct conversion of various fuels into electricity, making them a vital technology in the future clean energy sector. This paper proposes a prediction method based on an improved genetic algori...

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Bibliographic Details

Published in:	Chinese Control Conference pp. 6722 - 6727
Main Authors:	Li, Yu, Li, Keye, Yang, Yuxiao, Cai, Shiyun, Lv, Yongfeng, Wu, Xiao-Long
Format:	Conference Proceeding
Language:	English
Published:	Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024
Subjects:	Accuracy Analytical models Clean energy Fuel cells Green energy iGANN Modelling Neural network Neural networks Predictive models SOFC SOFC power prediction Systems operation
ISSN:	1934-1768
Online Access:	Get full text
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