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The Problem of Non-Typical Objects in the Multidimensional Comparative Analysis of the Level of Renewable Energy Development

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  • Mateusz Piwowarski

    (Department of Decision Support Methods and Cognitive Neuroscience, University of Szczecin, 71-004 Szczecin, Poland)

  • Mariusz Borawski

    (Department of Decision Support Methods and Cognitive Neuroscience, University of Szczecin, 71-004 Szczecin, Poland)

  • Kesra Nermend

    (Department of Decision Support Methods and Cognitive Neuroscience, University of Szczecin, 71-004 Szczecin, Poland)

Abstract

The development of energy from renewable sources is one of the most important aspects of today’s energy industry. The level of this development (production of green energy) is determined by the use of a variety of methods, e.g., the methods of multicriteria and multivariate analysis. The effectiveness of these methods is affected by many factors, and one of them is the appearance of non-typical objects (outliers). This paper investigates the effectiveness of selected methods (TOPSIS, VIKOR, VMCM) in terms of computational robustness to outlier objects. The most effective method in this respect (VMCM) is then applied to study the level of development of renewable energy sources in European countries. The presented research provides the opportunity to carry out a dynamic analysis (for selected base years) of the level of energy generation from diverse renewable sources in reference to the adopted patterns and anti-patterns (European countries). The obtained results are discussed, thus confirming the effectiveness of the proposed methodological approach.

Suggested Citation

  • Mateusz Piwowarski & Mariusz Borawski & Kesra Nermend, 2021. "The Problem of Non-Typical Objects in the Multidimensional Comparative Analysis of the Level of Renewable Energy Development," Energies, MDPI, vol. 14(18), pages 1-24, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5803-:d:635234
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