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Analysis of the Structure of Germany’s Energy Sector with Self-organizing Kohonen Maps

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Business Information Systems Workshops (BIS 2021)

Abstract

The purpose of the research in this article is to analyze the structure of energy in Germany and compare the obtained data with events occurring in the country and the world. The article reviews the world energy sector and considers the rating of regions by gross energy production. The analysis helps to identify the leading regions in terms of energy production: Asia and Oceania, North America and Europe. The German economy and energy sector were considered, as well as the development of nuclear power in particular and the gradual abandonment from nuclear power plants because of the occurred radiation accidents in the world. It also describes the relevance of data analysis in the energy sector, especially in working with renewable energy sources due to their instability and unpredictability. Using self-organizing Kohonen maps, the data on German energy indicators was analyzed. Basing on the analysis it was concluded that these maps correspond to the changes in the energy policy of Germany.

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References

  1. Hara, T.: Introduction: the sustainability of the world population. In: An Essay on the Principle of Sustainable Population. SPS, pp. 1–10. Springer, Singapore (2020). https://doi.org/10.1007/978-981-13-3654-6_1

    Chapter  Google Scholar 

  2. Sreewirote, B., Noppakant, A., Pothisarn, C.: Increasing efficiency of an electricity production system from solar energy with a method of reducing solar panel temperature. In: 2017 International Conference on Applied System Innovation (ICASI). IEEE, pp. 1308–1311 (2017)

    Google Scholar 

  3. de Lima, L.P., de Deus Ribeiro, G.B., Perez, R.: The energy mix and energy efficiency analysis for Brazilian dairy industry. J. Clean. Prod. 181, 209–216 (2018)

    Article  Google Scholar 

  4. Fei, F., Wen, Z., Huang, S., De Clercq, D.: Mechanical biological treatment of municipal solid waste: energy efficiency, environmental impact and economic feasibility analysis. J. Clean. Prod. 178, 731–739 (2018)

    Article  Google Scholar 

  5. Cornelis, M.: Energy efficiency, the overlooked climate emergency solution. Econ. Policy 2, 48–67 (2020)

    Google Scholar 

  6. EES EAEC. http://www.eeseaec.org. Accessed 28 Jan 2021

  7. Salygin, V.I., Meden, N.K.: On the issue of methodology of energy policy research (German example) MGIMO Univ. Bullet. 6(45), 181–192 (2015)

    Google Scholar 

  8. Kukartsev, V.V., Beletskaya, O.D., Fabrichkina, M.O., Tynchenko, V.S., Mikhalev, A.S.: Kohonen maps to organize staff recruitment and study of workers’ absenteeism. J. Phys. Conf. Series 1399(3), 033108 (2019)

    Article  Google Scholar 

  9. Caruso, G., Gattone, S.A., Fortuna, F., Di Battista, T.: Cluster analysis for mixed data: an application to credit risk evaluation. Socio-Econ. Plann. Sci. 73, 100850 (2021)

    Google Scholar 

  10. Jasiński, M., et al.: A case study on data mining application in a virtual power plant: cluster analysis of power quality measurements. Energies 14(4), 974 (2021)

    Article  Google Scholar 

  11. Vedernikov, M., Zelena, M., Volianska-Savchuk, L., Litinska, V., Boiko, J.: Management of the social package structure at industrial enterprises on the basis of cluster analysis. TEM J. 9(1), 249–260 (2020)

    Google Scholar 

  12. Tynchenko, V.S., Tynchenko, V.V., Bukhtoyarov, V.V., Kukartsev, V.A., Eremeev, D.V.: Application of Kohonen self-organizing maps to the analysis of enterprises’ employees certification results. IOP Conf. Series Mater. Sci. Eng. 537(4), 042010 (2019)

    Article  Google Scholar 

  13. Ermolaev, D.V.: Clustering as a factor in industrial development. Bulletin Tula State Univ. Econ. Legal Sci. 3(1), 82–95 (2016)

    Google Scholar 

  14. IEA. https://www.iea.org. Accessed 28 Jan 2021

  15. German Federal statistical office. https://www.destatis.de/EN/Home/_node.html. Accessed 28 Jan 2021

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Correspondence to Vadim Tynchenko .

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Potapenko, I., Kukartsev, V., Tynchenko, V., Mikhalev, A., Ershova, E. (2022). Analysis of the Structure of Germany’s Energy Sector with Self-organizing Kohonen Maps. In: Abramowicz, W., Auer, S., Stróżyna, M. (eds) Business Information Systems Workshops. BIS 2021. Lecture Notes in Business Information Processing, vol 444. Springer, Cham. https://doi.org/10.1007/978-3-031-04216-4_1

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  • DOI: https://doi.org/10.1007/978-3-031-04216-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04215-7

  • Online ISBN: 978-3-031-04216-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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