Identification and Removal of Negative Biomass Samples via Scatter Plot Analysis to Improve GWP Predictive Modeling

Accurate prediction of Global Warming Potential (GWP) from biomass constituents is essential for evaluating the sustainability of bioenergy sources. However, the inclusion of biomass samples with weak or negative correlation to key elemental components such as Carbon (C). Hydrogen (H). Nitrogen (N)....

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Hlavní autoři:	Gyawali Prakash, Shrestha Bijendra, Posom Jetsada, Pornchaloempong Pimpen, Sirisomboon Panmanas, Shrestha Bim Prasad, Funke Axel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	EDP Sciences 2025-01-01
Edice:	E3S Web of Conferences
Témata:	biomass gwp scatter plot regression ultimate analysis model optimization
On-line přístup:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/61/e3sconf_tsae2025_04021.pdf
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