Using machine learning to expound energy poverty in the global south: Understanding and predicting access to cooking with clean energy

Efforts towards achieving high access to cooking with clean energy have not been transformative due to a limited understanding of the clean-energy drivers and a lack of evidence-based clean-energy policy recommendations. This study addresses this gap by building a high-performing machine learning mo...

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Bibliographic Details

Main Authors:	Mulako Mukelabai, Upul Wijayantha-Kahagala-Gamage, Richard Blanchard
Format:	Default Article
Published:	2023
Subjects:	Energy modelling Artificial intelligence Explainable AI Developing world Hydrogen economy
Online Access:	https://hdl.handle.net/2134/23716236.v1
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