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

Mateusz Piwowarski, Mariusz Borawski and Kesra Nermend
Additional contact information
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

Energies, 2021, vol. 14, issue 18, 1-24

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.

Keywords: renewable energy; non-typical object; multidimensional comparative analysis; VMCM; TOPSIS; VIKOR (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/18/5803/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/18/5803/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:18:p:5803-:d:635234

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().