Applications of machine learning in thermochemical conversion of biomass-A review

SR Naqvi, Z Ullah, SAA Taqvi, MNA Khan, W Farooq… - Fuel, 2023 - Elsevier
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

Predictive modeling of biomass gasification with machine learning-based regression methods

F Elmaz, Ö Yücel, AY Mutlu - Energy, 2020 - Elsevier
Biomass gasification is a promising power generation process due to its ability to utilize
waste materials and similar renewable energy sources. Predicting the outcomes of this …

Applications of artificial intelligence‐based modeling for bioenergy systems: A review

M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …

Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling

M Meena, S Shubham, K Paritosh, N Pareek… - Bioresource …, 2021 - Elsevier
Bioenergy may be a major replacement of fossil fuels which can make the path easier for
sustainable development and decrease the dependency on conventional sources of energy …

Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach

H Cao, Y Xin, Q Yuan - Bioresource technology, 2016 - Elsevier
To predict conveniently the biochar yield from cattle manure pyrolysis, intelligent modeling
approach was introduced in this research. A traditional artificial neural networks (ANN) …

Genetic programming in civil engineering: advent, applications and future trends

Q Zhang, K Barri, P Jiao, H Salehi, AH Alavi - Artificial Intelligence Review, 2021 - Springer
Over the past two decades, machine learning has been gaining significant attention for
solving complex engineering problems. Genetic programing (GP) is an advanced framework …

An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification

AY Mutlu, O Yucel - Energy, 2018 - Elsevier
Artificial neural networks and artificial intelligence based regression techniques have been
recently applied to various gasification processes. Although these techniques obtain …

Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

DS Pandey, S Das, I Pan, JJ Leahy, W Kwapinski - Waste management, 2016 - Elsevier
In this paper, multi-layer feed forward neural networks are used to predict the lower heating
value of gas (LHV), lower heating value of gasification products including tars and entrained …

Systematic review of research guidelines for numerical simulation of biomass gasification for bioenergy production

N Mazaheri, AH Akbarzadeh, E Madadian… - Energy conversion and …, 2019 - Elsevier
Sustainable energy production through conversion of biomass has recently found growing
interest. Among thermochemical conversion techniques, gasification is of interest to replace …