Energy Economics in European Union Countries—Typological Analysis Using Kohonen Networks

Energy is a key resource determining economic and social development. The aim of the study was to identify and analyze patterns in the energy economy of European Union countries in 2019 and 2023 using the self-organizing maps (SOMs) method, which is an artificial intelligence tool. This approach enables unsupervised clustering of countries based on complex data, revealing hidden relationships between energy indicators. Analysis of Eurostat data showed that over the analyzed period, five countries improved their cluster position, one country experienced a decline, and the remaining 21 countries retained their previous assignment. The grouping of the countries in 2023 was more diverse, with a clear concentration of countries with favorable development parameters. The results of the study provide valuable guidance for EU energy policy, supporting the planning of a sustainable transition in the context of challenges such as the COVID-19 pandemic and the war in Ukraine.

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Journal
Energies
Published
2025-11-26
DOI
https://doi.org/10.3390/en18236202
Primary Topic
COVID-19 impact on air quality
Type
article
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article

Energy Economics in European Union Countries—Typological Analysis Using Kohonen Networks

Agnieszka Sompolska‐Rzechuła, Aneta Becker, Anna Oleńczuk-Paszel
Energies
COVID-19 impact on air quality
article

Energy Economics in European Union Countries—Typological Analysis Using Kohonen Networks

Agnieszka Sompolska‐Rzechuła, Aneta Becker, Anna Oleńczuk-Paszel
article en

Abstract

Energy is a key resource determining economic and social development. The aim of the study was to identify and analyze patterns in the energy economy of European Union countries in 2019 and 2023 using the self-organizing maps (SOMs) method, which is an artificial intelligence tool. This approach enables unsupervised clustering of countries based on complex data, revealing hidden relationships between energy indicators. Analysis of Eurostat data showed that over the analyzed period, five countries improved their cluster position, one country experienced a decline, and the remaining 21 countries retained their previous assignment. The grouping of the countries in 2023 was more diverse, with a clear concentration of countries with favorable development parameters. The results of the study provide valuable guidance for EU energy policy, supporting the planning of a sustainable transition in the context of challenges such as the COVID-19 pandemic and the war in Ukraine.

EnergiesVol. 18(23)
West Pomeranian University of Technology in Szczecin (PL)
Openalex Percentile: Top 65%
COVID-19 impact on air quality
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