Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations

Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations

The co-gasification of biomass and plastic waste offers a promising solution for producing hydrogen-rich syngas, addressing the rising demand for cleaner energy. However, optimizing this complex process to maximize hydrogen yield remains challenging, particularly when balancing diverse feedstocks an...

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Bibliographic Details
Main Author: Thavavel Vaiyapuri
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Entropy
Subjects:
thermochemical conversion
biomass gasification
clean energy
explainable artificial intelligence
Shapley Additive Explanations framework
summary plot
Online Access:https://www.mdpi.com/1099-4300/27/1/83
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