Prediction of hydrogen generation from perhydro-dibenzyltoluene empowered with machine learning
Abstract The perhydro-dibenzyltoluene (H18-DBT) exhibits promising potential as a viable
option for hydrogen production purposes. There are several important features for hydrogen …
option for hydrogen production purposes. There are several important features for hydrogen …
Organic catalysts for hydrogen production from noodle wastewater: Machine learning and deep learning-based analysis
Hydrogen production from the electrolysis of wastewater is an environmentally friendly and
highly efficient process. The performance of this process for instant noodle wastewater is …
highly efficient process. The performance of this process for instant noodle wastewater is …
[HTML][HTML] Prediction of hydrogen storage in dibenzyltoluene empowered with machine learning
Hydrogen storage using liquid organic hydrogen carriers (LOHCs) is a promising method.
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …
The data sets for hydrogen storage using dibenzyltoluene (DBT) are considered in this …
[HTML][HTML] Deep learning models in Python for predicting hydrogen production: A comparative study
S Devasahayam - Energy, 2023 - Elsevier
This study relates to predicting hydrogen production using deep learning models. The co-
gasification of biomass and plastics dataset used gasification temperature, particle size of …
gasification of biomass and plastics dataset used gasification temperature, particle size of …
[HTML][HTML] Hydrogen storage prediction in dibenzyltoluene as liquid organic hydrogen carrier empowered with weighted federated machine learning
The hydrogen stored in liquid organic hydrogen carriers (LOHCs) has an advantage of safe
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
and convenient hydrogen storage system. Dibenzyltoluene (DBT), due to its low …
[HTML][HTML] Supervised Machine Learning-Based Prediction of Hydrogen Storage Classes Utilizing Dibenzyltoluene as an Organic Carrier
Dibenzyltoluene (H0-DBT), a Liquid Organic Hydrogen Carrier (LOHC), presents an
attractive solution for hydrogen storage due to its enhanced safety and ability to store …
attractive solution for hydrogen storage due to its enhanced safety and ability to store …
Deep Learning Models for Hydrogen Production Prediction in Python: A Comparative Study
S Devasahayam - Energy., no. ISSN, 2023 - papers.ssrn.com
This study relates to predicting hydrogen production using deep learning models. The co-
gasification of biomass and plastics dataset used gasification temperature, particle size of …
gasification of biomass and plastics dataset used gasification temperature, particle size of …
Optimization of biohydrogen production by Enterobacter species using artificial neural network and response surface methodology
P Karthic, S Joseph, N Arun… - Journal of Renewable and …, 2013 - pubs.aip.org
Optimization studies on fermentative hydrogen production were investigated using a
facultative bacteria namely, Enterobacter species (MTCC 7104). The present study …
facultative bacteria namely, Enterobacter species (MTCC 7104). The present study …
Estimation of catalytic hydrogen production through water-gas shift reaction using a machine learning technique
S Amiri, E Karimi - Energy Sources, Part A: Recovery, Utilization …, 2021 - Taylor & Francis
Hydrogen (H2) is an important and environmentally friendly energy source and the need for
its usage is growing across the world. Water-Gas Shift (WGS) reaction is the key approach …
its usage is growing across the world. Water-Gas Shift (WGS) reaction is the key approach …
GH2_MobileNet: Deep learning approach for predicting green hydrogen production from organic waste mixtures
Green hydrogen production is fast becoming a key technology in changing the traditional
rules of energy production by relying on green energy sources. Due to the high cost of …
rules of energy production by relying on green energy sources. Due to the high cost of …