<i>Amaranthus hybridus</i> waste solid biofuel: comparative and machine learning studies
Abayomi Bamisaye, Ayodeji Rapheal Ige, Kayode Adesina Adegoke, Idowu Abimbola Adegoke, Muyideen Olaitan Bamidele, Yakubu Adekunle Alli, Oluwatobi Adeleke, Mopelola Abidemi Idowu
Abstract
difference in the C-O stretch. The root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE) gave values of 0.0249, 2.104, and, 0.0249; (MAE, training) and 0.0223 (MAE, testing) respectively. This shows that the model's predictions match the reality, thereby suggesting a strong agreement between the predicted and experimental data. The finding of this study shows that delignification-disruption improved the solid biofuel's ability to burn cleanly and sustainably.
Topics & Concepts
Amaranthus hybridusBriquetteMean absolute percentage errorPulp and paper industryBiofuelBioenergyEnvironmental scienceChemistryMathematicsWaste managementMean squared errorBotanyStatisticsBiologyEngineeringOrganic chemistryWeedCoalThermochemical Biomass Conversion ProcessesBiodiesel Production and ApplicationsBiofuel production and bioconversion