Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies

The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics...

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Autores principales:	George Halkos, Kyriaki Tsilika
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	energy use visual data exploration correlation analysis trends k-means clustering Technology T
Acceso en línea:	https://doaj.org/article/24050fa3545048a3a7c20aefec36e1b4
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id	oai:doaj.org-article:24050fa3545048a3a7c20aefec36e1b4
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spelling	oai:doaj.org-article:24050fa3545048a3a7c20aefec36e1b42021-11-25T17:26:20ZVisual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies10.3390/en142275321996-1073https://doaj.org/article/24050fa3545048a3a7c20aefec36e1b42021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7532https://doaj.org/toc/1996-1073The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics techniques. Different results from the same territories show that energy consumption does not always reflect or is due to climatological or meteorological conditions. Extensive use of visualization is adopted as a means of contributing to the understanding of energy use, some involved problems and concepts, and energy consumption trends over time. We present an approach that addresses the informatics challenges based on the integration of visualization software, data integration, and cluster analysis. Our cross-sectional energy review advocates that EU energy leaders are moving towards a low-carbon economy. The correlations of energy variables with economic and pollution effects are stronger in greater levels of energy use, which means that energy use has an obvious impact on economic growth and the environment. Visual and automated methods employed for the analysis, reveal the direction, the strength, and the nature of the dependence structure, in clusters covering the range of energy use in EU 28 countries.George HalkosKyriaki TsilikaMDPI AGarticleenergy usevisual data explorationcorrelation analysistrendsk-means clusteringTechnologyTENEnergies, Vol 14, Iss 7532, p 7532 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy use visual data exploration correlation analysis trends k-means clustering Technology T
spellingShingle	energy use visual data exploration correlation analysis trends k-means clustering Technology T George Halkos Kyriaki Tsilika Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
description	The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics techniques. Different results from the same territories show that energy consumption does not always reflect or is due to climatological or meteorological conditions. Extensive use of visualization is adopted as a means of contributing to the understanding of energy use, some involved problems and concepts, and energy consumption trends over time. We present an approach that addresses the informatics challenges based on the integration of visualization software, data integration, and cluster analysis. Our cross-sectional energy review advocates that EU energy leaders are moving towards a low-carbon economy. The correlations of energy variables with economic and pollution effects are stronger in greater levels of energy use, which means that energy use has an obvious impact on economic growth and the environment. Visual and automated methods employed for the analysis, reveal the direction, the strength, and the nature of the dependence structure, in clusters covering the range of energy use in EU 28 countries.
format	article
author	George Halkos Kyriaki Tsilika
author_facet	George Halkos Kyriaki Tsilika
author_sort	George Halkos
title	Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
title_short	Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
title_full	Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
title_fullStr	Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
title_full_unstemmed	Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies
title_sort	visual exploration of energy use in eu 28: dynamics, patterns, policies
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/24050fa3545048a3a7c20aefec36e1b4
work_keys_str_mv	AT georgehalkos visualexplorationofenergyuseineu28dynamicspatternspolicies AT kyriakitsilika visualexplorationofenergyuseineu28dynamicspatternspolicies
_version_	1718412336985800704

Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies

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