• Corpus ID: 2950854

Neural Network-Based Modeling of PEM fuel cell and C ontroller Synthesis of a stand-alone system for residential application

@inproceedings{Mammar2012NeuralNM,
  title={Neural Network-Based Modeling of PEM fuel cell and C ontroller Synthesis of a stand-alone system for residential application},
  author={Khaled Mammar and Abdelkader Chaker},
  year={2012}
}
The paper is focused especially on presenting possibilities of applying artificial neural networks at creating the optimal model PEM fuel cell. Various ANN approaches have been tested; the back-propagation feed-forward networks show satisfactory performance with regard to cell voltage prediction. The model is then used in a power system for residential application. This models include an ANN fuel cell stack model, reformer model and DC/AC inverter model. Furthermore a neural network (NNTC) and… 

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