Application of linear regression algorithm and stochastic gradient descent in a machine‐learning environment for predicting biomass higher heating value
Sign Up to like & getrecommendations! Published in 2020 at "Biofuels"
DOI: 10.1002/bbb.2140
Abstract: 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 HHV quickly from other analysis data. In… read more here.
Keywords: stochastic gradient; heating value; regression algorithm; linear regression ... See more keywords
Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3870-x
Abstract: AbstractTorrefaction of biomass can be described as a mild form of pyrolysis at temperatures typically ranging between 200 and 300 °C in the absence of oxygen. Common biomass reactions during torrefaction include devolatilization, depolymerization, and carbonization… read more here.
Keywords: biomass; value; model; process ... See more keywords
Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials using lignin and extractive contents
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DOI: 10.1016/j.energy.2018.07.053
Abstract: Abstract The higher heating values (HHVs) of 11 non-wood lignocellulosic materials from Turkey were measured experimentally and calculated incorporating various theoretical models with the values of both lignin and extractive contents. Multiple linear regression (MLR)… read more here.
Keywords: lignocellulosic materials; real valued; lignin extractive; extractive contents ... See more keywords
A unified semi-empirical model for estimating the higher heating value of coals based on proximate analysis
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DOI: 10.1080/00102202.2018.1497612
Abstract: ABSTRACT Mathematical models for estimating the higher heating value of coals have constantly been developed and verified. Recently, models based on proximate analysis have gained much attention because of the relative ease in acquiring of… read more here.
Keywords: estimating higher; model; value coals; heating value ... See more keywords
Prediction of higher heating values based on imminent analysis by using regression analysis and artificial neural network for bioenergy resources
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering"
DOI: 10.1177/09544089231175046
Abstract: As biomass becomes increasingly important as an energy source, predicting its higher heating value using more efficient algorithms based on schedule information, such as imminent analysis, enables timely decisions on bioenergy usage. A random search… read more here.
Keywords: higher heating; neural network; regression; analysis ... See more keywords
A Dynamic Recurrent Neural Network for Predicting Higher Heating Value of Biomass
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms24065780
Abstract: The higher heating value (HHV) is the main property showing the energy amount of biomass samples. Several linear correlations based on either the proximate or the ultimate analysis have already been proposed for predicting biomass… read more here.
Keywords: higher heating; neural network; hhv; recurrent neural ... See more keywords
Comparison of Different Machine Learning Models for Modelling the Higher Heating Value of Biomass
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11092098
Abstract: The aim of this study was to investigate the potential of using structural analysis parameters for estimating the higher heating value (HHV) of biomass by obtaining information on the composition of cellulose, lignin, and hemicellulose.… read more here.
Keywords: higher heating; biomass; analysis; heating value ... See more keywords