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The use of artificial neural networks for complex energy systems’ prediction and control

dc.contributor.advisorGvozdenac‐Urošević, Branka
dc.contributor.otherMaksimović, Rado
dc.contributor.otherBanjac, Miloš
dc.contributor.otherStankovski, Stevan
dc.contributor.otherVukmirović, Srđan
dc.contributor.otherGvozdenac‐Urošević, Branka
dc.creatorĐozić, Damir
dc.date.accessioned2020-08-28T15:14:54Z
dc.date.available2020-08-28T15:14:54Z
dc.date.issued2020-07-10
dc.identifier.urihttps://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija158313417058789.pdf?controlNumber=(BISIS)114129&fileName=158313417058789.pdf&id=15012&source=NaRDuS&language=srsr
dc.identifier.urihttps://www.cris.uns.ac.rs/record.jsf?recordId=114129&source=NaRDuS&language=srsr
dc.identifier.urihttps://www.cris.uns.ac.rs/DownloadFileServlet/IzvestajKomisije158261972929352.pdf?controlNumber=(BISIS)114129&fileName=158261972929352.pdf&id=14958&source=NaRDuS&language=srsr
dc.identifier.uri/DownloadFileServlet/IzvestajKomisije158261972929352.pdf?controlNumber=(BISIS)114129&fileName=158261972929352.pdf&id=14958
dc.identifier.urihttp://nardus.mpn.gov.rs/handle/123456789/17377
dc.description.abstractProblem velike količine emisije CO2 u atmosferi je međunarodno prepoznat a Evropska unija je dokumentom „Energetska mapa puta 2050 Evropske unije“ najviše doprinela u prepoznavanju i realizaciji mera za njegovo sprovođenje. Jedan od ključnih segmenata dokumenta predstavlja energetska politika. U ovoj tezi su prepoznati ključni indikatori vezani za energetsku politiku, a zatim je formiran model veštačkih neuronskih mreža koji je u stanju da predvidi emisiju CO2 do 2050. godine. Model je u mogućnosti da nauči funkcionisanje celog sistema i omogućava simulaciju raznih scenarija energetske politike kako bi se ispunio cilj da se što efikasnije i brže dođe do željenog smanjenja emisija CO2.sr
dc.description.abstractThe problem of high CO2 emission has been recognised internationally. European Union has contributed the most to recognition and realization of measures and actions, needed to solve this problem, by developing document Energy Roadmap 2050. One of key segments of this document is energy policy. In this thesis, key indicators for energy policy are found, after which the artificial neural network model which is capable of CO2 emission prediction by the year 2050 is formed. Model is capable of learning the whole complex energy system and enables simularion of different energy policy scenarios in order to reach the EU goal and decrease CO2 emission by the year 2050 in most efficient and easiest way.en
dc.languagesr (latin script)
dc.publisherУниверзитет у Новом Саду, Факултет техничких наукаsr
dc.rightsopenAccessen
dc.sourceУниверзитет у Новом Садуsr
dc.subjectEnergetska politikasr
dc.subjectEnergy policyen
dc.subjectartificial neural networksen
dc.subjectEuropean Unionen
dc.subjectCO2en
dc.subjectveštačke neuronske mrežesr
dc.subjectEvropska unijasr
dc.subjectCO2sr
dc.titleUpotreba veštačkih neuronskih mreža za predviđanje ponašanja i upravljanje složenim energetskim sistemimasr
dc.title.alternativeThe use of artificial neural networks for complex energy systems’ prediction and controlen
dc.typedoctoralThesisen
dc.rights.licenseBY-NC-ND
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/65048/IzvestajKomisije.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/65047/Disertacija.pdf


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