Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method

At a time of rapid climate change and an uncertain geopolitical situation caused by the war in Ukraine, the problem of access to energy is a serious issue. The use of renewable energy sources and ensuring the highest possible energy independence are becoming important. They are in line with the seve...

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Published in:Energies
Main Authors: Krzysztof Dmytrów, Beata Bieszk-Stolorz, Joanna Landmesser-Rusek
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/en15207756
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spelling ftmdpi:oai:mdpi.com:/1996-1073/15/20/7756/ 2023-08-20T04:07:29+02:00 Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method Krzysztof Dmytrów Beata Bieszk-Stolorz Joanna Landmesser-Rusek 2022-10-20 application/pdf https://doi.org/10.3390/en15207756 EN eng Multidisciplinary Digital Publishing Institute A: Sustainable Energy https://dx.doi.org/10.3390/en15207756 https://creativecommons.org/licenses/by/4.0/ Energies; Volume 15; Issue 20; Pages: 7756 sustainable development goal 7 COPRAS method multi-criteria decision support Dynamic Time Warping (DTW) hierarchical clustering Text 2022 ftmdpi https://doi.org/10.3390/en15207756 2023-08-01T06:57:53Z At a time of rapid climate change and an uncertain geopolitical situation caused by the war in Ukraine, the problem of access to energy is a serious issue. The use of renewable energy sources and ensuring the highest possible energy independence are becoming important. They are in line with the seventh Sustainable Development Goal (SDG7). The aim of our research is to compare European countries in terms of the degree of SDG7 implementation and its dynamics from 2005 to 2020. We assess the SDG7 implementation using the COPRAS method and compare its dynamics using the Dynamic Time Warping (DTW) and hierarchical clustering. In years 2005, 2009 and 2020, we present rankings of countries in terms of the SDG7 implementation. Norway, Denmark, Sweden, Croatia, and Estonia were ranked the best, and Luxembourg, Belgium, Bulgaria, Lithuania, Iceland, and Cyprus—the worst. We obtained eight clusters with respect to dynamics of the degree of SDG7 implementation. In Poland, Romania, Belgium, Luxembourg, Latvia, and Ireland, the relative dynamics was increasing, while in the Nordic and South European countries, it was decreasing. The novelty of our research is combining the COPRAS (assessment of SDG7 implementation) and DTW methods (selection of similar countries with respect to its dynamics). Text Iceland MDPI Open Access Publishing Norway Energies 15 20 7756
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic sustainable development goal 7
COPRAS method
multi-criteria decision support
Dynamic Time Warping (DTW)
hierarchical clustering
spellingShingle sustainable development goal 7
COPRAS method
multi-criteria decision support
Dynamic Time Warping (DTW)
hierarchical clustering
Krzysztof Dmytrów
Beata Bieszk-Stolorz
Joanna Landmesser-Rusek
Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
topic_facet sustainable development goal 7
COPRAS method
multi-criteria decision support
Dynamic Time Warping (DTW)
hierarchical clustering
description At a time of rapid climate change and an uncertain geopolitical situation caused by the war in Ukraine, the problem of access to energy is a serious issue. The use of renewable energy sources and ensuring the highest possible energy independence are becoming important. They are in line with the seventh Sustainable Development Goal (SDG7). The aim of our research is to compare European countries in terms of the degree of SDG7 implementation and its dynamics from 2005 to 2020. We assess the SDG7 implementation using the COPRAS method and compare its dynamics using the Dynamic Time Warping (DTW) and hierarchical clustering. In years 2005, 2009 and 2020, we present rankings of countries in terms of the SDG7 implementation. Norway, Denmark, Sweden, Croatia, and Estonia were ranked the best, and Luxembourg, Belgium, Bulgaria, Lithuania, Iceland, and Cyprus—the worst. We obtained eight clusters with respect to dynamics of the degree of SDG7 implementation. In Poland, Romania, Belgium, Luxembourg, Latvia, and Ireland, the relative dynamics was increasing, while in the Nordic and South European countries, it was decreasing. The novelty of our research is combining the COPRAS (assessment of SDG7 implementation) and DTW methods (selection of similar countries with respect to its dynamics).
format Text
author Krzysztof Dmytrów
Beata Bieszk-Stolorz
Joanna Landmesser-Rusek
author_facet Krzysztof Dmytrów
Beata Bieszk-Stolorz
Joanna Landmesser-Rusek
author_sort Krzysztof Dmytrów
title Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
title_short Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
title_full Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
title_fullStr Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
title_full_unstemmed Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method
title_sort sustainable energy in european countries: analysis of sustainable development goal 7 using the dynamic time warping method
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/en15207756
geographic Norway
geographic_facet Norway
genre Iceland
genre_facet Iceland
op_source Energies; Volume 15; Issue 20; Pages: 7756
op_relation A: Sustainable Energy
https://dx.doi.org/10.3390/en15207756
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/en15207756
container_title Energies
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