Data driven models for a PEM fuel cell stack performance prediction

Academic Article
Publication Date:
2013
abstract:
[object Object]
Iris type:
01.01 Articolo in rivista
Keywords:
Data driven model; Neural network; Proton exchange membrane fuel cell; Stacking approaches
List of contributors:
Authors of the University:
Handle:
https://iris.cnr.it/handle/20.500.14243/227710
Published in:
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Journal