Households Vulnerable to Energy Poverty in the Visegrad Group Countries: An Analysis of Socio-Economic Factors Using a Machine Learning Approach

Households Vulnerable to Energy Poverty in the Visegrad Group Countries: An Analysis of Socio-Economic Factors Using a Machine Learning Approach

Research on household energy poverty is crucial for addressing basic human needs, highlighting the importance of conducting studies across different countries. This study examines energy poverty in the Visegrad Group countries using 2022 data from the EU Statistics on Income and Living Conditions su...

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Bibliographic Details
Main Authors: Urszula Grzybowska, Agnieszka Wojewódzka-Wiewiórska, Gintarė Vaznonienė, Hanna Dudek
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
energy poverty
inability to keep the house warm
households
machine learning
Visegrad Group countries
EU-SILC
Online Access:https://www.mdpi.com/1996-1073/17/24/6310
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