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master's thesis
Korekcija vremenske prognoze korištenjem nedavnih mjerenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:037871
Kovačević, Borna
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kovačević, B. (2021). Korekcija vremenske prognoze korištenjem nedavnih mjerenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:037871

Kovačević, Borna. "Korekcija vremenske prognoze korištenjem nedavnih mjerenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:037871

Kovačević, Borna. "Korekcija vremenske prognoze korištenjem nedavnih mjerenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:037871

Kovačević, B. (2021). 'Korekcija vremenske prognoze korištenjem nedavnih mjerenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:037871

Kovačević B. Korekcija vremenske prognoze korištenjem nedavnih mjerenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:037871

B. Kovačević, "Korekcija vremenske prognoze korištenjem nedavnih mjerenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:037871

Metadata
TitleKorekcija vremenske prognoze korištenjem nedavnih mjerenja
Title (english)Correction of weather forecast by using recent measurements
AuthorBorna Kovačević
MentorMario Vašak (mentor)
Committee memberMario Vašak (predsjednik povjerenstva)
Committee memberVinko Lešić (član povjerenstva)
Committee memberAnita Banjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-02-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Temeljem duljeg niza mjerenja meteoroloških uvjeta na neboderskoj zgradi Sveučilišta u Zagrebu Fakulteta elektrotehnike i računarstva (FER-a) i usporedbom s vremenskom prognozom Državnog hidrometeorološkog zavoda (DHMZ-a) nastojalo se poboljšati predikciju vremenske prognoze korištenjem linearnih korektora i neuronskih mreža. Izrađeno je 15 jednostavnijih modela strojnog učenja te 45 modela neuronskih mreža. Opisane su razlike između njih i njihova točnost u razdoblju od 29. kolovoza 2020. do 4. prosinca 2020. godine. Poboljšanje vremenske prognoze DHMZ-a korištenjem strojnog učenja i neuronskih mreža može doprinijeti smanjenju potrošnje energije u zgradi.
Abstract (english)
Based on a long series of data measurements of meteorological conditions on the University of Zagreb Faculty of Electrical Engineering and Computing (FER) building and comparison with Croatian Meteorological and Hydrological Service (DHMZ) weather forecast, an attempt to improve prediction of the weather using linear correctors and neural networks, was made. Fifteen simpler models of machine learning and 45 models of neural networks is developed. The differences between models and their accuracy is described, for the testing period from August 29, 2020 to December 4, 2020. The improvement of weather by using machine learning and neural networks can contribute reducing energy consumption in buildings.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:037871
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 10:11:55