A model with high-precision on proton exchange membrane fuel cell performance degradation prediction based on temporal convolutional network-long short-term memory

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

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Overview of current development in electrical energy storage technologies and the application potential in power system operation

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Engineering, Electrical Engineering, Energy Economics +16

Generalization of backpropagation with application to a recurrent gas market model

Paul J. Werbos · Neural Networks · 1988 · 961 citations

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Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

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Engineering, Computer Science, Electrical Engineering +17

Degradation mechanisms of proton exchange membrane fuel cell under typical automotive operating conditions

Peng Ren, Pucheng Pei, Yuehua Li et al. · Progress in Energy and Combustion Science · 2020 · 679 citations

Engineering, Automotive Engineering, Chemical Engineering +16