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undergraduate thesis
Kratkoročno predviđanje cijene energenata
2016. urn:nbn:hr:168:938440
Bartol, Kristijan
University of Zagreb
Faculty of Electrical Engineering and Computing

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Bartol, K. (2016). Kratkoročno predviđanje cijene energenata (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:938440

Bartol, Kristijan. "Kratkoročno predviđanje cijene energenata." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:938440

Bartol, Kristijan. "Kratkoročno predviđanje cijene energenata." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:938440

Bartol, K. (2016). 'Kratkoročno predviđanje cijene energenata', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:938440

Bartol K. Kratkoročno predviđanje cijene energenata [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 November 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:938440

K. Bartol, "Kratkoročno predviđanje cijene energenata", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:938440

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Metadata
TitleKratkoročno predviđanje cijene energenata
Title (english)Short-term energy-generating product price forecasting
AuthorKristijan Bartol
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberJosip Krapac (član povjerenstva)
Committee memberMarko Magerl (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-09-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Predviđanje cijene sirove nafte važno je zbog značajnog utjecaja na trendove rasta i pada cijena za cjelokupno globalno tržište. Opisan je problem kratkoročnog predviđanja cijene sirove nafte. Predstavljeno je i opisano moguće rješenje korištenjem skupa regresijskih stabala i optimizacije aditivnim gradijentnim spustom. Model je evaluiran različitim regresijskim metrikama te uspoređen s modelom slučajnih šuma na stvarnom problemu. Rezultati su uspoređeni s postojećim rezultatima znanstvenih radova na temu predviđanja cijene sirove nafte.
Abstract (english)
Crude oil price forecasting is important due to its strong influence on the global economic market. The problem of short-term crude oil price forecasting is described. The solution of short-term crude oil price forecasting using regression trees is implemented and described accordingly. Ensemble model is evaluated with various regression metrics on concrete problem. Results are compared with the existing results found in relevant papers.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:938440
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 07:46:20