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- W2941042480 abstract "Hydrogen based technologies are a growing field among the renewable energies options, being the single proton exchange membrane (PEM) fuel cells (FC) one of the most promising. There are a number of possibilities to model the electrical behavior of this kind of devices. Among them, in this paper authors have tackled the problem using an Artificial Neural Network based approach. As a proof of concept, a specific 2 KW PEM FC device has been used to obtain the data needed to carry out the process. Using these data, a model of only one signal at both the input and the output has been designed, i.e., the current (I_{FC}) at the input and the voltage (V_{FC}) at the output. As result of the modeling process that is explained along the paper, a relatively small model showing a medium squared error of 0.012 V(^{2}) with test data has been obtained." @default.
- W2941042480 created "2019-05-03" @default.
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- W2941042480 date "2019-05-01" @default.
- W2941042480 modified "2023-09-26" @default.
- W2941042480 title "Neural Model of a Specific Single Proton Exchange Membrane PEM Fuel Cell" @default.
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- W2941042480 doi "https://doi.org/10.1007/978-3-030-20055-8_31" @default.
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