Modeling and experimental verification of a 25W fabricated PEM fuel cell by parametric and GMDH-type neural network
Mechanics & Industry, 17 1 (2016) 105
Published online: 2015-10-16
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Numerical calculation and analysis of a novel heat pipe type proton exchange membrane fuel cells
Lincheng Wang, Zhenhua Quan, Mingguang Yang, Hongxia Xu and Yaohua ZhaoThermal Science and Engineering Progress 62 103635 (2025)
https://doi.org/10.1016/j.tsep.2025.103635
Artificial intelligence in hydrogen energy transitions: A comprehensive survey and future directions
A.Z. Arsad, M.A. Hannan, H.C. Ong, Pin Jern Ker, Richard TK. Wong, R.A. Begum, Gilsoo Jang and T M Indra MahliaRenewable and Sustainable Energy Reviews 224 116121 (2025)
https://doi.org/10.1016/j.rser.2025.116121
Integrated model for accurate internal state estimation of polymer electrolyte membrane fuel cells
Donghoon Shin and Seungryeol YooEnergy Reports 11 4453 (2024)
https://doi.org/10.1016/j.egyr.2024.04.027
Multi objective optimization using artificial neural network to maximize the power output of PEMFCs
Sankhadeep Ghosh, Avijit Routh, Mehabub Rahaman and Avijit GhoshIndian Chemical Engineer 66 (4) 323 (2024)
https://doi.org/10.1080/00194506.2024.2392630
Design and experimental study of a novel vapor chamber for proton exchange membrane fuel cell cooling
Jing Zhao, Jinchi Han, Caiting Zhou, Xinxuan Cheng, Qifei Jian and Chao ChenInternational Journal of Heat and Mass Transfer 220 124949 (2024)
https://doi.org/10.1016/j.ijheatmasstransfer.2023.124949
Model optimization of a high-power commercial PEMFC system via an improved grey wolf optimization method
Hongxu Zhou, Xiaohua Wu, Yang Li, Zhanfeng Fan, Weishan Chen, Jianwei Mao, Pengyi Deng and Torsten WikFuel 357 129589 (2024)
https://doi.org/10.1016/j.fuel.2023.129589
ORR Catalysts Based on Carbon Nanotubes and Metal Phthalocyanines Obtained by High-Temperature Synthesis
R. V. Shafigulin, K. Yu. Vinogradov, A. V. Bulanova, M. V. Kuznetsov, Yu. G. Morozov, A. V. Safonov and V. V. PodlipnovInternational Journal of Self-Propagating High-Temperature Synthesis 33 (1) 39 (2024)
https://doi.org/10.3103/S1061386224010084
Heat transfer process analysis and performance research of micro heat pipe array applied for the thermal management of proton exchange membrane fuel cells
Lincheng Wang, Zhenhua Quan, Yaohua Zhao, Mingguang Yang and Heran JingApplied Thermal Engineering 219 119531 (2023)
https://doi.org/10.1016/j.applthermaleng.2022.119531
Recent advances in the applications of machine learning methods for heat exchanger modeling—a review
Junjia Zou, Tomoki Hirokawa, Jiabao An, Long Huang and Joseph CammFrontiers in Energy Research 11 (2023)
https://doi.org/10.3389/fenrg.2023.1294531
Experimental research on the dynamic response characteristics of proton exchange membrane fuel cell thermal management using micro-heat pipe array
Lincheng Wang, Zhenhua Quan, Yaohua Zhao, Mingguang Yang and Ji ZhangJournal of Thermal Analysis and Calorimetry 148 (10) 4377 (2023)
https://doi.org/10.1007/s10973-023-11988-7
Integrating high-temperature proton exchange membrane fuel cell with duplex thermoelectric cooler for electricity and cooling cogeneration
Yuan Qin, Houcheng Zhang and Xinfeng ZhangInternational Journal of Hydrogen Energy 47 (91) 38703 (2022)
https://doi.org/10.1016/j.ijhydene.2022.09.041
An efficient high-temperature PEMFC/membrane distillation hybrid system for simultaneous production of electricity and freshwater
Yuan Qin, Houcheng Zhang, Shujin Hou, Fu Wang, Jiapei Zhao, Chunfei Zhang, He Miao and Jinliang YuanInternational Journal of Hydrogen Energy 47 (23) 11998 (2022)
https://doi.org/10.1016/j.ijhydene.2022.01.224
Integration of high-temperature PEMFC with air gap membrane distillation for simultaneous electricity generation and seawater desalination: A theoretical investigation
Yuan Qin, Houcheng Zhang, Fu Wang, Jiapei Zhao, Chunfei Zhang, Liusheng Xiao, He Miao and Jinliang YuanDesalination 543 116100 (2022)
https://doi.org/10.1016/j.desal.2022.116100
A study into Proton Exchange Membrane Fuel Cell power and voltage prediction using Artificial Neural Network
Tabbi Wilberforce and Mohammad BiswasEnergy Reports 8 12843 (2022)
https://doi.org/10.1016/j.egyr.2022.09.104
Experimental investigation on thermal management of proton exchange membrane fuel cell stack using micro heat pipe array
Lincheng Wang, Zhenhua Quan, Yaohua Zhao, Mingguang Yang and Ji ZhangApplied Thermal Engineering 214 118831 (2022)
https://doi.org/10.1016/j.applthermaleng.2022.118831
Energy-related carbon dioxide emission forecasting of four European countries by employing data-driven methods
Mohammad Ghalandari, Habib Forootan Fard, Ali Komeili Birjandi and Ibrahim MahariqJournal of Thermal Analysis and Calorimetry 144 (5) 1999 (2021)
https://doi.org/10.1007/s10973-020-10400-y
Modeling and optimization of a proton exchange membrane fuel cell using particle swarm algorithm with constriction coefficient
Hamid Abdi, Noureddine Ait Messaoudene, Lioua Kolsi and Mohamed Wahib NaceurJournal of Thermal Analysis and Calorimetry 144 (5) 1749 (2021)
https://doi.org/10.1007/s10973-020-10370-1
Applying different types of artificial neural network for modeling thermal conductivity of nanofluids containing silica particles
Akbar Maleki, Arman Haghighi, Misagh Irandoost Shahrestani and Zahra AbdelmalekJournal of Thermal Analysis and Calorimetry 144 (4) 1613 (2021)
https://doi.org/10.1007/s10973-020-09541-x
Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling
E. Tsalapati, C.W.D. Johnson, T.W. Jackson, L. Jackson, D. Low, B. Davies, L. Mao and A. WestExpert Systems with Applications 163 113550 (2021)
https://doi.org/10.1016/j.eswa.2020.113550
Multi-objective optimization of tubular solid oxide fuel cells fed by natural gas: an energetic and exergetic simultaneous optimization
Seyed Mohsen Pourkiaei, Fathollah Pourfayaz, Mehdi Mehrpooya and Mohammad H. AhmadiJournal of Thermal Analysis and Calorimetry 145 (3) 1575 (2021)
https://doi.org/10.1007/s10973-021-10849-5
1 (2021)
https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584587
Evaluating GMDH-based models to predict daily dew point temperature (case study of Kerman province)
Kourosh Qaderi, Bahram Bakhtiari, Mohamad Reza Madadi and Zahra Afzali-GorouhMeteorology and Atmospheric Physics 132 (5) 667 (2020)
https://doi.org/10.1007/s00703-019-00712-6
Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid
Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahyar Ghazvini, et al.Journal of Thermal Analysis and Calorimetry 139 (4) 2585 (2020)
https://doi.org/10.1007/s10973-019-08762-z
Thermodynamics and Energy Engineering
Jonathan DeseureThermodynamics and Energy Engineering (2020)
https://doi.org/10.5772/intechopen.89958
Thermal conductivity prediction of nanofluids containing CuO nanoparticles by using correlation and artificial neural network
Ali Komeilibirjandi, Amir Hossein Raffiee, Akbar Maleki, Mohammad Alhuyi Nazari and Mostafa Safdari ShadlooJournal of Thermal Analysis and Calorimetry 139 (4) 2679 (2020)
https://doi.org/10.1007/s10973-019-08838-w
Thermal Conductivity Modeling of Nanofluids Contain MgO Particles by Employing Different Approaches
Na Wang, Akbar Maleki, Mohammad Alhuyi Nazari, Iskander Tlili and Mostafa Safdari ShadlooSymmetry 12 (2) 206 (2020)
https://doi.org/10.3390/sym12020206
A review on the applications of intelligence methods in predicting thermal conductivity of nanofluids
Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Giulio Lorenzini and Ioan PopJournal of Thermal Analysis and Calorimetry 138 (1) 827 (2019)
https://doi.org/10.1007/s10973-019-08154-3
Development of Simple-To-Use Predictive Models to Determine Thermal Properties of Fe2O3/Water-Ethylene Glycol Nanofluid
Mohammad Hossein Ahmadi, Ali Ghahremannezhad, Kwok-Wing Chau, Parinaz Seifaddini, Mohammad Ramezannezhad and Roghayeh GhasempourComputation 7 (1) 18 (2019)
https://doi.org/10.3390/computation7010018
PEM Fuel Cell Voltage Neural Control Based on Hydrogen Pressure Regulation
Andrés Morán-Durán, Albino Martínez-Sibaja, José Pastor Rodríguez-Jarquin, Rubén Posada-Gómez and Oscar Sandoval GonzálezProcesses 7 (7) 434 (2019)
https://doi.org/10.3390/pr7070434
Modeling of the frost deposition by natural convection on horizontal ultra-low-temperature surfaces
Alireza Zendehboudi and S. H. HosseiniJournal of Thermal Analysis and Calorimetry 137 (6) 2029 (2019)
https://doi.org/10.1007/s10973-019-08087-x
Process development and exergy analysis of a novel hybrid fuel cell-absorption refrigeration system utilizing nanofluid as the absorbent liquid
Fathollah Pourfayaz, Mohammad Imani, Mehdi Mehrpooya and Reza ShirmohammadiInternational Journal of Refrigeration 97 31 (2019)
https://doi.org/10.1016/j.ijrefrig.2018.09.011
Developing an ANFIS-based swarm concept model for estimating the relative viscosity of nanofluids
Alireza Baghban, Ali Jalali, Mojtaba Shafiee, Mohammad Hossein Ahmadi and Kwok-wing ChauEngineering Applications of Computational Fluid Mechanics 13 (1) 26 (2019)
https://doi.org/10.1080/19942060.2018.1542345
Energetic and exergetic analyses of a combined system consisting of a high-temperature polymer electrolyte membrane fuel cell and a thermoelectric generator with Thomson effect
Xinru Guo, Houcheng Zhang, Jinliang Yuan, et al.International Journal of Hydrogen Energy 44 (31) 16918 (2019)
https://doi.org/10.1016/j.ijhydene.2019.04.215
A review on the approaches applied for cooling fuel cells
Mahdi Ramezanizadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi and Lingen ChenInternational Journal of Heat and Mass Transfer 139 517 (2019)
https://doi.org/10.1016/j.ijheatmasstransfer.2019.05.032
Thermal conductivity and dynamic viscosity modeling of Fe2O3/water nanofluid by applying various connectionist approaches
Mohammad Hossein Ahmadi, Afshin Tatar, Parinaz Seifaddini, et al.Numerical Heat Transfer, Part A: Applications 74 (6) 1301 (2018)
https://doi.org/10.1080/10407782.2018.1505092
GMDH modeling and experimental investigation of thermal performance enhancement of hemispherical cavity receiver using MWCNT/oil nanofluid
Reyhaneh Loni, E. Askari Asli-Ardeh, B. Ghobadian, M.H. Ahmadi and Evangelos BellosSolar Energy 171 790 (2018)
https://doi.org/10.1016/j.solener.2018.07.003
Applying GMDH artificial neural network in modeling CO2 emissions in four nordic countries
Mohammad Hossein Rezaei, Milad Sadeghzadeh, Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi and Fatemeh Razi AstaraeiInternational Journal of Low-Carbon Technologies 13 (3) 266 (2018)
https://doi.org/10.1093/ijlct/cty026
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang and Hao LiIEEE Transactions on Neural Networks and Learning Systems 29 (6) 2450 (2018)
https://doi.org/10.1109/TNNLS.2017.2695223
Development of multilayer perceptron artificial neural network (MLP-ANN) and least square support vector machine (LSSVM) models to predict Nusselt number and pressure drop of TiO2/water nanofluid flows through non-straight pathways
Mostafa Kahani, Mohammad Hossein Ahmadi, Afshin Tatar and Milad SadeghzadehNumerical Heat Transfer, Part A: Applications 74 (4) 1190 (2018)
https://doi.org/10.1080/10407782.2018.1523597
POWER GENERATION FROM COMBUSTED “SYNGAS” USING HYBRID THERMOELECTRIC GENERATOR AND FORECASTING THE PERFORMANCE WITH ANN TECHNIQUE
Appadurai Anitha ANGELİNEJournal of Thermal Engineering 4 (4) 2149 (2018)
https://doi.org/10.18186/journal-of-thermal-engineering.433806
Modeling Thermal Conductivity Ratio of CuO/Ethylene Glycol Nanofluid by Using Artificial Neural Network
Mohammad Alhuyi Nazari, Mohammad Hossein Ahmadi, Giulio Lorenzini, et al.Defect and Diffusion Forum 388 39 (2018)
https://doi.org/10.4028/www.scientific.net/DDF.388.39
Determination of thermal conductivity ratio of CuO/ethylene glycol nanofluid by connectionist approach
Mohammad-Ali Ahmadi, Mohammad Hossein Ahmadi, Morteza Fahim Alavi, et al.Journal of the Taiwan Institute of Chemical Engineers 91 383 (2018)
https://doi.org/10.1016/j.jtice.2018.06.003
Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks
Mohammad Hossein Ahmadi, Afshin Tatar, Mohammad Alhuyi Nazari, Roghayeh Ghasempour, Ali J. Chamkha and Wei-Mon YanInternational Journal of Heat and Mass Transfer 126 1079 (2018)
https://doi.org/10.1016/j.ijheatmasstransfer.2018.06.085
On the computational fluid dynamics of PEM fuel cells (PEMFCs): an investigation on mesh independence analysis
H. Kazemi Esfeh, A. Azarafza and M. K. A. HamidRSC Advances 7 (52) 32893 (2017)
https://doi.org/10.1039/C7RA03236F
ANN model to predict the performance of parabolic dish collector with tubular cavity receiver
Reyhaneh Loni, Alibakhsh Kasaeian, Kazem Shahverdi, et al.Mechanics & Industry 18 (4) 408 (2017)
https://doi.org/10.1051/meca/2017016
GMDH algorithm for modeling the outlet temperatures of a solar chimney based on the ambient temperature
Alibakhsh Kasaeian, Mehran Ghalamchi, Mohammad Hossein Ahmadi and Mehrdad GhalamchiMechanics & Industry 18 (2) 216 (2017)
https://doi.org/10.1051/meca/2016034
Optimization of district heating system aided by geothermal heat pump: A novel multistage with multilevel ANN modelling
Halit Arat and Oguz ArslanApplied Thermal Engineering 111 608 (2017)
https://doi.org/10.1016/j.applthermaleng.2016.09.150
Optimal economic dispatch of FC-CHP based heat and power micro-grids
Morteza Nazari-Heris, Saeed Abapour and Behnam Mohammadi-IvatlooApplied Thermal Engineering 114 756 (2017)
https://doi.org/10.1016/j.applthermaleng.2016.12.016
Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants
Mrinmoy MajumderSpringerBriefs in Energy, Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants 19 (2016)
https://doi.org/10.1007/978-981-287-314-9_4
Primary energy savings of a modular combined heat and power plant based on high temperature proton exchange membrane fuel cells
Elmar Pohl, Pascal Meier, Marius Maximini and Jörg vom SchloßApplied Thermal Engineering 104 54 (2016)
https://doi.org/10.1016/j.applthermaleng.2016.05.055
Solar radiation prediction based on ICA and HGAPSO for Kuhin City, Iran
Alibakhsh Kasaeian, Mehdi Mehrpooya, Mahsa Aghaie and Mohammad Hossein AhmadiMechanics & Industry 17 (5) 509 (2016)
https://doi.org/10.1051/meca/2015100
Impact of Climate Change on Small Scale Hydro-turbine Selections
Uttam Roy and Mrinmoy MajumderSpringerBriefs in Energy, Impact of Climate Change on Small Scale Hydro-turbine Selections 1 (2016)
https://doi.org/10.1007/978-981-287-239-5_1
Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants
Mrinmoy MajumderSpringerBriefs in Energy, Minimization of Climatic Vulnerabilities on Mini-hydro Power Plants 1 (2016)
https://doi.org/10.1007/978-981-287-314-9_1
Evolving ICA and HGAPSO algorithms for prediction of outlet temperatures of constructed solar chimney
Mehran Ghalamchi, Alibakhsh Kasaeian, Mohammad Hossein Ahmadi and Mehrdad GhalamchiInternational Journal of Low-Carbon Technologies ctw008 (2016)
https://doi.org/10.1093/ijlct/ctw008
Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
Mrinmoy Majumder and Apu K. SahaSpringerBriefs in Energy, Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques 9 (2016)
https://doi.org/10.1007/978-981-287-308-8_3
Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
Mrinmoy Majumder and Apu K. SahaSpringerBriefs in Energy, Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques 13 (2016)
https://doi.org/10.1007/978-981-287-308-8_4