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Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model

Rezan Bakır, Ceren Orak, Aslı Yüksel

2024International Journal of Hydrogen Energy78 citationsDOI

Topics & Concepts

Random forestEnsemble forecastingComputer scienceBootstrap aggregatingEnsemble learningArtificial intelligenceMachine learningMachine Learning in Materials ScienceCatalytic Processes in Materials ScienceAdvanced Photocatalysis Techniques
Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model | Litcius