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Statistical Analysis on Random Matrices of Echo State Network in PEMFC System’s Lifetime Prediction

https://doi.org/10.3390/app12073421
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-35289-8_36openalex-snapshot
A Practical Guide to Applying Echo State Networks
inferredcites →https://doi.org/10.1016/j.apenergy.2020.114791openalex-snapshot
Remaining useful life prediction of PEMFC systems based on the multi-input echo state network
inferredcites →https://doi.org/10.1016/j.apenergy.2020.115937openalex-snapshot
Deep learning based prognostic framework towards proton exchange membrane fuel cell for automotive application
inferredcites →https://doi.org/10.1016/j.apenergy.2020.116297openalex-snapshot
An Echo State Network for fuel cell lifetime prediction under a dynamic micro-cogeneration load profile
inferredcites →https://doi.org/10.1016/j.apenergy.2021.116505openalex-snapshot
Online extremum seeking-based optimized energy management strategy for hybrid electric tram considering fuel cell degradation
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117542openalex-snapshot
Optimal sizing for an integrated energy system considering degradation and seasonal hydrogen storage
inferredcites →https://doi.org/10.1016/j.conengprac.2021.104959openalex-snapshot
Degradation identification and prognostics of proton exchange membrane fuel cell under dynamic load
inferredcites →https://doi.org/10.1016/j.enconman.2021.113825openalex-snapshot
Remaining useful life prediction of PEMFC systems under dynamic operating conditions
inferredcites →https://doi.org/10.1016/j.ijhydene.2013.04.135openalex-snapshot
Data driven models for a PEM fuel cell stack performance prediction
inferredcites →https://doi.org/10.1016/j.ijhydene.2016.05.286openalex-snapshot
Proton exchange membrane fuel cell ageing forecasting algorithm based on Echo State Network
inferredcites →https://doi.org/10.1016/j.ijhydene.2020.03.209openalex-snapshot
Degradation prediction of PEM fuel cell based on artificial intelligence
inferredcites →https://doi.org/10.1016/j.ijhydene.2021.09.233openalex-snapshot
Remaining useful life prediction of PEMFC based on cycle reservoir with jump model
inferredcites →https://doi.org/10.1016/j.ijhydene.2022.01.121openalex-snapshot
A novel long short-term memory networks-based data-driven prognostic strategy for proton exchange membrane fuel cells
inferredcites →https://doi.org/10.1016/j.jpowsour.2016.05.092openalex-snapshot
Prognostics of Proton Exchange Membrane Fuel Cells stack using an ensemble of constraints based connectionist networks
inferredcites →https://doi.org/10.1016/j.jpowsour.2022.231256openalex-snapshot
A review on lifetime prediction of proton exchange membrane fuel cells system
inferredcites →https://doi.org/10.1016/j.knosys.2015.06.003openalex-snapshot
Optimizing the echo state network with a binary particle swarm optimization algorithm
inferredcites →https://doi.org/10.1016/j.matcom.2015.06.009openalex-snapshot
ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network
inferredcites →https://doi.org/10.1016/j.neucom.2017.01.053openalex-snapshot
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction
inferredcites →https://doi.org/10.1016/j.neucom.2019.02.009openalex-snapshot
Computing optimal discrete readout weights in reservoir computing is NP-hard
inferredcites →https://doi.org/10.1016/j.neunet.2019.02.001openalex-snapshot
Gradient based hyperparameter optimization in Echo State Networks
inferredcites →https://doi.org/10.1016/j.ymssp.2019.01.060openalex-snapshot
An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells
inferredcites →https://doi.org/10.1049/iet-rpg.2020.0138openalex-snapshot
Adaptive uncertainty sets‐based two‐stage robust optimisation for economic dispatch of microgrid with demand response
inferredcites →https://doi.org/10.1109/iecon.2013.6699377openalex-snapshot
Fuel Cells prognostics using echo state network
inferredcites →https://doi.org/10.1109/iecon.2018.8591345openalex-snapshot
Multi-Reservoir Echo State Network for Proton Exchange Membrane Fuel Cell Remaining Useful Life prediction
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727232openalex-snapshot
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network
inferredcites →https://doi.org/10.1109/tie.2019.2893827openalex-snapshot
Adaptive Prognostic of Fuel Cells by Implementing Ensemble Echo State Networks in Time-Varying Model Space
inferredcites →https://doi.org/10.1109/tie.2020.3040662openalex-snapshot
Multiobjective Optimization and Data-Driven Constraint Adaptive Predictive Control for Efficient and Stable Operation of PEMFC System
inferredcites →https://doi.org/10.1109/tim.2021.3058365openalex-snapshot
Long-Term Performance Prediction of PEMFC Based on LASSO-ESN
inferredcites →https://doi.org/10.1109/tte.2021.3103921openalex-snapshot
Multi-Timescale Lifespan Prediction for PEMFC Systems Under Dynamic Operating Conditions
inferredcites →https://doi.org/10.1109/tte.2021.3121179openalex-snapshot
Lifespan Prediction for Proton Exchange Membrane Fuel Cells Based on Wavelet Transform and Echo State Network
inferredcites →https://doi.org/10.26713/jims.v10i1-2.827openalex-snapshot
An Ensemble Learning Approach to the Predictive Stability of Echo State Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4766767openalex-extracted
Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit (基于粒子群优化和栅极循环单元的质子交换膜燃料电池性能衰减预测模型)
inferred← citeshttps://doi.org/10.2139/ssrn.4767702openalex-extracted
Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit
inferred← citeshttps://doi.org/10.2139/ssrn.4776004openalex-extracted
Performance Decay Prediction Model of Proton Exchange Membrane Fuel Cell Based on Particle Swarm Optimization and Gate Recurrent Unit
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100399openalex-snapshot
Performance decay prediction model of proton exchange membrane fuel cell based on particle swarm optimization and gate recurrent unit
inferred← citeshttps://doi.org/10.1016/j.jpowsour.2024.234864openalex-snapshot
Diagnostic and prognostic for prescriptive maintenance and control of PEMFC systems in an industrial framework
inferred← citeshttps://doi.org/10.1109/iecon58223.2025.11221407openalex-snapshot
Multiscale convolution model for long-term aging prediction of PEMFC
inferred← citeshttps://doi.org/10.1109/tte.2022.3195272openalex-snapshot
A Comprehensive Review on Fuel Cell UAV Key Technologies: Propulsion System, Management Strategy, and Design Procedure
inferred← citeshttps://doi.org/10.1109/tte.2026.3661158openalex-snapshot
Aging Prognosis and Uncertainty Quantification of Hydrogen Fuel Cell Based on Semiempirical and Equivalent Circuit Joint Model
inferred← citeshttps://doi.org/10.17308/sait/1995-5499/2025/4/145-154openalex-snapshot
ВЛИЯНИЕ СТАТИСТИКИ ИНИЦИАЛИЗАЦИЙ НА ТОЧНОСТЬ РЕЗЕРВУАРНЫХ ВЫЧИСЛЕНИЙ
inferred← citeshttps://doi.org/10.3390/pr14132145openalex-snapshot
Robust Combustion Prediction for Alternative-Fuel Engines Using an Equilibrium Optimizer-Based Echo State Network with ϵ-Insensitive SVR Readout
inferred← citeshttps://doi.org/10.3390/s25072174openalex-snapshot
Degradation Prediction of PEMFCs Based on Discrete Wavelet Transform and Decoupled Echo State Network
inferred← citeshttps://doi.org/10.3390/s25133868openalex-snapshot
Forecast of Aging of PEMFCs Based on CEEMD-VMD and Triple Echo State Network
inferred← citeshttps://doi.org/10.37251/sjpe.v7i3.3328openalex-snapshot
Beyond Obstacle Avoidance: Ultrasonic Wave Diffraction and Multi-Sensor Integration in a Follow-Me Robot
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