Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …
and strengthening energy security and sustainability. However, techno-economic and …
Energy digitalization: Main categories, applications, merits, and barriers
Increased consumption of fossil fuels has contributed to a rise in abnormal weather
conditions. Utilizing renewable energy sources is one of the most effective methods for …
conditions. Utilizing renewable energy sources is one of the most effective methods for …
Biomass microwave pyrolysis characterization by machine learning for sustainable rural biorefineries
Y Yang, H Shahbeik, A Shafizadeh, N Masoudnia… - Renewable Energy, 2022 - Elsevier
Microwave heating is a promising solution to overcome the shortcomings of conventional
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …
heating in biomass pyrolysis. Nevertheless, biomass microwave pyrolysis is a complex …
Biochar production and its environmental applications: recent developments and machine learning insights
KV Supraja, H Kachroo, G Viswanathan… - Bioresource …, 2023 - Elsevier
Biochar production through thermochemical processing is a sustainable biomass
conversion and waste management approach. However, commercializing biochar faces …
conversion and waste management approach. However, commercializing biochar faces …
Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning
P Prasertpong, T Onsree, N Khuenkaeo… - Bioresource …, 2023 - Elsevier
During co-pyrolysis of biomass with plastic waste, bio-oil yields (BOY) could be either
induced or reduced significantly via synergistic effects (SE). However, investigating …
induced or reduced significantly via synergistic effects (SE). However, investigating …
Machine learning and statistical analysis for biomass torrefaction: A review
K Manatura, B Chalermsinsuwan… - Bioresource …, 2023 - Elsevier
Torrefaction is a remarkable technology in biomass-to-energy. However, biomass has
several disadvantages, including hydrophilic properties, higher moisture, lower heating …
several disadvantages, including hydrophilic properties, higher moisture, lower heating …
Process modelling integrated with interpretable machine learning for predicting hydrogen and char yield during chemical looping gasification
Chemical looping gasification (CLG) is a promising thermochemical process for the
production of H 2. CLG process is mainly based on oxygen transfer from an air reactor to a …
production of H 2. CLG process is mainly based on oxygen transfer from an air reactor to a …
Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques
Y Kittichotsatsawat, N Tippayawong… - Scientific Reports, 2022 - nature.com
Crop yield and its prediction are crucial in agricultural production planning. This study
investigates and predicts arabica coffee yield in order to match the market demand, using …
investigates and predicts arabica coffee yield in order to match the market demand, using …
Prediction of HHV of fuel by Machine learning Algorithm: Interpretability analysis using Shapley Additive Explanations (SHAP)
This study presents a novel approach using machine learning techniques to estimate waste
materials' higher heating value (HHV), which plays a crucial role in waste-to-energy …
materials' higher heating value (HHV), which plays a crucial role in waste-to-energy …