Agnostic deep neural network approach to the estimation of hydrogen production for solar-powered systems
出版年份 2020 全文链接
标题
Agnostic deep neural network approach to the estimation of hydrogen production for solar-powered systems
作者
关键词
Hydrogen production, PEM electrolyser, Solar radiation, Photovoltaic panels, Artificial neural networks, Deep learning
出版物
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 46, Issue 9, Pages 6272-6285
出版商
Elsevier BV
发表日期
2020-12-09
DOI
10.1016/j.ijhydene.2020.11.161
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches
- (2020) Raif Kenanoğlu et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Optimization of hydrogen production via toluene steam reforming over Ni–Co supported modified-activated carbon using ANN coupled GA and RSM
- (2020) Hamdya Sabrina Mohidin Yahya et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Multi-objective optimization of an experimental integrated thermochemical cycle of hydrogen production with an artificial neural network
- (2020) Aida Farsi et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Comparison of different techniques for estimation of incoming longwave radiation
- (2020) H. H. Bilgic et al. International Journal of Environmental Science and Technology
- Comparison of support vector regression and random forest algorithms for estimating the SOFC output voltage by considering hydrogen flow rates
- (2020) Feride Cansu İskenderoğlu et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms
- (2019) Soonho Hwangbo et al. ENERGY CONVERSION AND MANAGEMENT
- Artificial Neural Networks based thermodynamic and economic analysis of a hydrogen production system assisted by geothermal energy on Field Programmable Gate Array
- (2019) Ceyhun Yilmaz et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Computational intelligence approach for modeling hydrogen production: a review
- (2018) Sina Faizollahzadeh Ardabili et al. Engineering Applications of Computational Fluid Mechanics
- Estimation of daily global solar radiation using deep learning model
- (2018) Kazım Kaba et al. ENERGY
- The global solar radiation estimation and analysis of solar energy: Case study for Osmaniye, Turkey
- (2017) Bulent Yaniktepe et al. International Journal of Green Energy
- Performance of the Angstrom-Prescott Model (A-P) and SVM and ANN techniques to estimate daily global solar irradiation in Botucatu/SP/Brazil
- (2017) Maurício Bruno Prado da Silva et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
- (2017) Victor H. Quej et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- Prediction and optimization of hydrogen yield and energy conversion efficiency in a non-catalytic filtration combustion reactor for jet A and butanol fuels
- (2017) Seyed Reza Shabanian et al. KOREAN JOURNAL OF CHEMICAL ENGINEERING
- Preliminary estimation of electrolytic hydrogen production potential from renewable energies in Ecuador
- (2016) F. Posso et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Performance prediction and analysis of a PEM fuel cell operating on pure oxygen using data-driven models: A comparison of artificial neural network and support vector machine
- (2016) In-Su Han et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year
- (2015) Kasra Mohammadi et al. ENERGY CONVERSION AND MANAGEMENT
- Modeling and simulation of a hybrid photovoltaic (PV) module-electrolyzer-PEM fuel cell system for micro-cogeneration applications
- (2015) Ekin Özgirgin et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Potential of support vector regression for solar radiation prediction in Nigeria
- (2015) Lanre Olatomiwa et al. NATURAL HAZARDS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Estimation of electrolytic hydrogen production potential in Venezuela from renewable energies
- (2014) F. Posso et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- New types of simple non-linear models to compute solar global irradiance from cloud cover amount
- (2014) Viorel Badescu et al. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS
- Potential of radial basis function based support vector regression for global solar radiation prediction
- (2014) Zeynab Ramedani et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Application of artificial neural networks for modeling of biohydrogen production
- (2013) Noha Nasr et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Application of artificial neural networks (ANN) for modeling of industrial hydrogen plant
- (2013) Akbar Zamaniyan et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Neural network nonlinear modeling for hydrogen production using anaerobic fermentation
- (2012) Ahmed El-Shafie NEURAL COMPUTING & APPLICATIONS
- ANFIS modeling for predicting affective responses to tactile textures
- (2011) Diyar Akay et al. Human Factors and Ergonomics in Manufacturing & Service Industries
- Estimation of hydrogen production in genetically modified E. coli fermentations using an artificial neural network
- (2010) Luis Manuel Rosales-Colunga et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Modelling the SOFC behaviours by artificial neural network
- (2009) Jarosław Milewski et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- An expert system of price forecasting for used cars using adaptive neuro-fuzzy inference
- (2008) Jian-Da Wu et al. EXPERT SYSTEMS WITH APPLICATIONS
- Optimization of fermentative hydrogen production process using genetic algorithm based on neural network and response surface methodology
- (2008) J WANG et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models
- (2008) Ankur Mukherjee et al. JOURNAL OF PROCESS CONTROL
- Sensitivity analysis and faults diagnosis using artificial neural networks in natural gas TEG-dehydration plants
- (2007) Naif A. Darwish et al. CHEMICAL ENGINEERING JOURNAL
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now