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Naslov:Decision-making in sustainable energy transition in Southeastern Europe : probabilistic network-based model
Avtorji:ID Hribar, Nena (Avtor)
ID Šimić, Goran (Avtor)
ID Vukadinović, Simonida (Avtor)
ID Šprajc, Polona (Avtor)
Datoteke:.pdf Hribar-2021-Decision-making_in_sustainable_ene.pdf (3,93 MB)
MD5: A3363B46FAC3CBF7FA3534F5B4D80DB6
 
URL https://doi.org/10.1186/s13705-021-00315-3
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FOV - Fakulteta za organizacijske vede
Opis:Background: Sustainable energy transition of a country is complex and long-term process, which requires decision-making in all stages and at all levels, including a large number of different factors, with different causality. The main objective of this paper is the development of a probabilistic model for decision-making in sustainable energy transition in developing countries of SE Europe. The model will be developed according to the specificities of the countries for which it is intended—SE Europe. These are countries where energy transition is slower and more difficult due to many factors: high degree of uncertainty, low transparency, corruption, investment problems, insufficiently reliable data, lower level of economic development, high level of corruption and untrained human resources. All these factors are making decision-making more challenging and demanding. Methods: Research was done by using content analysis, artificial intelligence methods, software development method and testing. The model was developed by using MSBNx—Microsoft Research’s Bayesian Network Authoring and Evaluation Tool. Results: Due to the large number of insufficiently clear, but interdependent factors, the model is developed on the principle of probabilistic (Bayesian) networks of factors of interest. The paper presents the first model for supporting decision-making in the field of energy sustainability for the region of Southeastern Europe, which is based on the application of Bayesian Networks. Conclusion: Testing of the developed model showed certain characteristics, discussed in paper. The application of developed model will make it possible to predict the short-term and long-term consequences that may occur during energy transition by varying these factors. Recommendations are given for further development of the model, based on Bayesian networks.
Ključne besede:sustainable energy transition, SE Europe, decision-making, Bayesian networks
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:07.09.2021
Datum sprejetja članka:12.10.2021
Datum objave:29.10.2021
Založnik:Springer
Leto izida:2021
Št. strani:Str. 1-14
Številčenje:Letn. 11, Št. članka 39
PID:20.500.12556/DKUM-89943 Novo okno
UDK:502.131.1:519.816
COBISS.SI-ID:83147779 Novo okno
DOI:10.1186/s13705-021-00315-3 Novo okno
ISSN pri članku:2192-0567
Datum objave v DKUM:19.08.2024
Število ogledov:88
Število prenosov:10
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
HRIBAR, Nena, ŠIMIĆ, Goran, VUKADINOVIĆ, Simonida in ŠPRAJC, Polona, 2021, Decision-making in sustainable energy transition in Southeastern Europe : probabilistic network-based model. Energy, sustainability and society [na spletu]. 2021. Vol. 11, no. Št. članka 39, p. 1–14. [Dostopano 14 marec 2025]. DOI 10.1186/s13705-021-00315-3. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=89943
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Gradivo je del revije

Naslov:Energy, sustainability and society
Skrajšan naslov:Energy, sustain. soc.
Založnik:Springer
ISSN:2192-0567
COBISS.SI-ID:519525657 Novo okno

Gradivo je financirano iz projekta

Financer:Drugi - Drug financer ali več financerjev
Številka projekta:MTR44007III
Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P5-0018
Naslov:Sistemi za podporo odločanju v digitalnem poslovanju

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:29.10.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:trajnostni energetski prehod, JV Evropa, odločanje, Bayesove mreže


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