Valorizing Residue Biomass into Bioenergy: An Explainable Hybrid Machine Learning Model for Predicting Higher Heating Value (HHV) from Elemental Composition
Transforming waste and agricultural-residue biomass into bioenergy is central to the circular bioeconomy, yet routing such heterogeneous residues to the right thermochemical pathway depends on the higher heating value (HHV), which is conventionally measured by slow, resource-intensive bomb calorimetry. Here, we present...