[HTML][HTML] Biochar energy prediction from different biomass feedstocks for clean energy generation
This paper presents a novel approach for predicting various feedstock higher heating values
(HHV) using a voting ensemble machine-learning model. The proposed model, referred to …
(HHV) using a voting ensemble machine-learning model. The proposed model, referred to …
[HTML][HTML] Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions
The higher heating value (HHV) of biomass is a crucial property for design calculations and
numerical simulations in bioenergy utilization. However, existing models for HHV prediction …
numerical simulations in bioenergy utilization. However, existing models for HHV prediction …
Predictive modeling of ash and moisture content in acid-treated walnut shells using artificial neural networks
In this paper, the use of artificial neural networks (ANN) to predict changes in ash and
moisture content (MC) of walnut shells after acidic pretreatment was investigated. The …
moisture content (MC) of walnut shells after acidic pretreatment was investigated. The …