Recent advances in artificial neural network research for modeling hydrogen production processes
Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …
[HTML][HTML] Production of hydrogen energy from biomass: Prospects and challenges
The acceleration of the energy transition away from traditional energy systems depends on
the inclusion of H 2 in energy plans. Using biomass to produce hydrogen energy holds …
the inclusion of H 2 in energy plans. Using biomass to produce hydrogen energy holds …
Recent advancements in biomass to bioenergy management and carbon capture through artificial intelligence integrated technologies to achieve carbon neutrality
S Chauhan, P Solanki, C Putatunda, A Walia… - Sustainable Energy …, 2025 - Elsevier
Biomass, a renewable resource crucial for carbon neutrality, serves as a sustainable
alternative to fossil fuels by closing the carbon loop. The biotransformation of biomass into …
alternative to fossil fuels by closing the carbon loop. The biotransformation of biomass into …
Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
The use of biomass as a renewable energy source for electricity generation has gained
attention due to its sustainability and environmental benefits. However, the intermittent …
attention due to its sustainability and environmental benefits. However, the intermittent …
Analysis of 27 supervised machine learning models for the co-gasification assessment of peanut shell and spent tea residue in an open-core downdraft gasifier
The producer gas (PG) obtained through thermochemical processing of the various
renewable biomass types contributes to Sustainable Development Goal-7 (SDG-7). Hence …
renewable biomass types contributes to Sustainable Development Goal-7 (SDG-7). Hence …
Catalytic co-gasification optimization of biomass and polyethylene wastes in oxygen-rich environments
The catalytic co-gasification of pine wood, palm kernel shell (PKS), and bamboo with varying
polyethylene (PE) ratios is investigated to optimize syngas production and identify the effects …
polyethylene (PE) ratios is investigated to optimize syngas production and identify the effects …
Biomass Gasification Modelling Development: A Review
P Suparmin, N Purwanti, LO Nelwan… - IOP Conference Series …, 2024 - iopscience.iop.org
Biomass is a promising renewable energy source with great potential. Gasification converts
biomass into economically viable energy. Identifying, developing, and optimizing biomass …
biomass into economically viable energy. Identifying, developing, and optimizing biomass …
Exploring Insights in Biomass and Waste Gasification via Ensemble Machine Learning Models and Interpretability Techniques
This comprehensive review delves into the intersection of ensemble machine learning
models and interpretability techniques for biomass and waste gasification, a field crucial for …
models and interpretability techniques for biomass and waste gasification, a field crucial for …
[HTML][HTML] Bayesian Hyperparameter Optimization of Machine Learning Models for Predicting Biomass Gasification Gases
P Cihan - Applied Sciences, 2025 - mdpi.com
Predicting biomass gasification gases is crucial for energy production and environmental
monitoring but poses challenges due to complex relationships and variability. Machine …
monitoring but poses challenges due to complex relationships and variability. Machine …
Review of types of biomass as a fuel-combustion feedstock and their characteristics
NA Sasongko, NG Putra… - Advances in Food Science …, 2023 - afssaae.ub.ac.id
Biomass is organic matter produced through photosynthetic techniques, each within the form
of products and waste. Biomass energy sources have several benefits; amongst others …
of products and waste. Biomass energy sources have several benefits; amongst others …