<p>Problem velike količine emisije CO2 u atmosferi je međunarodno<br />prepoznat a Evropska unija je dokumentom „Energetska mapa puta 2050<br />Evropske unije“ najviše doprinela u prepoznavanju i realizaciji mera<br />za njegovo sprovođenje. Jedan od ključnih segmenata dokumenta<br />predstavlja energetska politika. U ovoj tezi su prepoznati ključni<br />indikatori vezani za energetsku politiku, a zatim je formiran model<br />veštačkih neuronskih mreža koji je u stanju da predvidi emisiju CO2<br />do 2050. godine. Model je u mogućnosti da nauči funkcionisanje celog<br />sistema i omogućava simulaciju raznih scenarija energetske politike<br />kako bi se ispunio cilj da se što efikasnije i brže dođe do željenog<br />smanjenja emisija CO2.</p> / <p>The problem of high CO2 emission has been recognised internationally.<br />European Union has contributed the most to recognition and realization of<br />measures and actions, needed to solve this problem, by developing<br />document Energy Roadmap 2050. One of key segments of this document is<br />energy policy. In this thesis, key indicators for energy policy are found, after<br />which the artificial neural network model which is capable of CO2 emission<br />prediction by the year 2050 is formed. Model is capable of learning the whole<br />complex energy system and enables simularion of different energy policy<br />scenarios in order to reach the EU goal and decrease CO2 emission by the<br />year 2050 in most efficient and easiest way.</p>
| Identifer | oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)114129 |
| Date | 10 July 2020 |
| Creators | Đozić Damir |
| Contributors | Gvozdenac‐Urošević Branka, Maksimović Rado, Banjac Miloš, Stankovski Stevan, Vukmirović Srđan |
| Publisher | Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad |
| Source Sets | University of Novi Sad |
| Language | Serbian |
| Detected Language | Unknown |
| Type | PhD thesis |
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