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 …

Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes

H Shahbeik, A Shafizadeh, MH Nadian, D Jeddi… - Journal of Cleaner …, 2023 - Elsevier
Co-pyrolysis of biomass feedstocks with polymeric wastes is a promising strategy for
improving the quantity and quality parameters of the resulting liquid fuel. Numerous …

Application of artificial neural networks in predicting biomass higher heating value: an early appraisal

JO Ighalo, AG Adeniyi, G Marques - Energy Sources, Part A …, 2024 - Taylor & Francis
Biomass higher heating value (HHV) is the maximum energy released by its complete
oxidation. The aim of this mini-review was to synthesize the early efforts of researchers in the …

Waste-to-energy as a tool of circular economy: Prediction of higher heating value of biomass by artificial neural network (ANN) and multivariate linear regression (MLR …

FE Yatim, I Boumanchar, B Srhir, Y Chhiti, C Jama… - Waste Management, 2022 - Elsevier
Circular economy is a global trend as a promising strategy for the sustainable use of natural
resources. In this context, waste-to-energy presents an effective solution to respond to the …

[HTML][HTML] Improved prediction accuracy of biomass heating value using proximate analysis with various ANN training algorithms

I Veza, H Panchal, PA Paristiawan, M Idris… - Results in …, 2022 - Elsevier
The conventional experimental methods to determine biomass heating value are laborious
and costly. Numerous correlations to estimate biomass' higher heating values have been …

Application of linear regression algorithm and stochastic gradient descent in a machine‐learning environment for predicting biomass higher heating value

JO Ighalo, AG Adeniyi… - Biofuels, Bioproducts and …, 2020 - Wiley Online Library
The higher heating value (HHV) provides information about the quantity of energy contained
in a fuel such as biomass. Correlations and models can be developed to predict biomass …

Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques

B Gordan, M Koopialipoor, A Clementking… - Engineering with …, 2019 - Springer
An important task of geotechnical engineering is a suitable design of safety factor (SF) of
retaining wall under both static and dynamic conditions. This paper presents the advantages …

[HTML][HTML] Estimation of lignocellulosic biomass pyrolysis product yields using artificial neural networks

C Tsekos, S Tandurella, W De Jong - Journal of Analytical and Applied …, 2021 - Elsevier
As the push towards more sustainable ways to produce energy and chemicals intensifies,
efforts are needed to refine and optimize the systems that can give an answer to these …

Prediction of higher heating value of biomass materials based on proximate analysis using gradient boosted regression trees method

SH Samadi, B Ghobadian, M Nosrati - Energy Sources, Part A …, 2021 - Taylor & Francis
In the present research work, a machine learning tool based on the gradient boosted
regression trees (GBRT) was used to predict the HHV of biomass. Data of 511 biomass …

Application of MLP-ANN models for estimating the higher heating value of bamboo biomass

S Pattanayak, C Loha, L Hauchhum, L Sailo - Biomass Conversion and …, 2021 - Springer
India is blessed with plenty of bamboo biomass resources. Particularly, in the north-east
states of India, bamboo has the potential to supply the local energy need. In order to explore …