Klaster analiza potrošnje obnovljive energije u Europskoj uniji

master's thesis

• Title (english): Cluster analysis of renewable energy consumption in the European union
• Author: Alegra Izidora Vuk
• Mentor: Mirjana Pejić Bach (mentor)
• Committee member: Katarina Ćurko (član povjerenstva)
• Committee member: Nikola Vlahović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2023-09-30, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Europska unija promiče i potiče korištenje obnovljivih izvora energije u svrhu očuvanja prirode, stvaranja neovisnosti o državama koje nisu članice unije i povećanju energetske učinkovitosti. Cilj rada bio je grupirati države članice Europske unije po sličnim udjelima potrošnje obnovljivih izvora energije u ukupnoj potrošnji. Odabrana je klaster analiza, kao najprikladnija metoda otkrivanja znanja u bazama podataka, za grupiranje podataka po sličnosti. Podaci su preuzeti iz Eurostatove baze podataka o korištenju obnovljivih izvora energije u Europi. Provedene su tri klaster analize za različita razdoblja, u razmaku od pet godina. Podaci su grupirani u četiri klastera i utvrđeno je kako je Švedska vodeća država Europske unije po iskorištavanju obnovljivih izvora energije. Također, analiza pokazuje kako se obnovljivi izvori energije koriste u najvećoj mjeri za električnu energiju. Analizom se pokazuje i kako nije nužno da visoki udio korištenja obnovljivih izvora energije imaju samo najrazvijenije zemlje unije.

Abstract (english)

The European Union promotes and encourages the use of renewable energy sources for the purpose of preserving nature, creating independence from non-member states and increasing energy efficiency. The aim of the work was to group the member states of the European Union according to similar shares of the consumption of renewable energy sources in the total consumption. Cluster analysis was chosen, as the most suitable method for discovering knowledge in databases, for grouping data by similarity. The data were taken from the Eurostat database on the use of renewable energy sources in Europe. Three cluster analyzes were conducted for different periods, five years apart. The data was grouped into four clusters and it was determined that Sweden is the leading country in the European Union in the use of renewable energy sources. Also, the analysis shows that renewable energy sources are used the most for electricity. The analysis also shows that it is not necessary that only the most developed countries of the Union have a high share of the use of renewable energy sources.

• Keywords: klasteri; obnovljivi izvori energije; klaster analiza; rudarenje podacima; otkrivanje znanja u bazama podataka
• Keywords (english): cluster; cluster analysis; renewable energy; data mining; knowledge discovery in databases
• Language: croatian
• URN:NBN: urn:nbn:hr:148:650261
• Study programme: Title: Business Economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2023-10-04 19:33:05