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master's thesis
Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:924587
Bošnjak, Danijel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Bošnjak, D. (2023). Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:924587

Bošnjak, Danijel. "Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:924587

Bošnjak, Danijel. "Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:924587

Bošnjak, D. (2023). 'Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 09 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:924587

Bošnjak D. Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 09] Available at: https://urn.nsk.hr/urn:nbn:hr:168:924587

D. Bošnjak, "Korektor meteorološkog prognostičkog niza temeljen na strojnom učenju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:924587

Metadata
TitleKorektor meteorološkog prognostičkog niza temeljen na strojnom učenju
Title (english)Weather forecast sequence corrector based on machine learning
AuthorDanijel Bošnjak
MentorMario Vašak (mentor)
Committee memberMario Vašak (predsjednik povjerenstva)
Committee memberBranimir Novoselnik (član povjerenstva)
Committee memberAnita Banjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-22, Croatia
Abstract
Ovaj rad istražuje i definira korektor za predviđanje vremenskih varijabli. U pitanju su vremenske varijable temperatura, direktno i difuzno zračenje. Objašnjavaju se izvori podataka, a potom i pretprocesiranje istih podataka, što uključuje uzorkovanje, uklanjanje nepostojećih vrijednosti i spajanje podataka. Zatim su predstavljeni modeli korišteni u eksperimentu, kao i metrike procjene (model je ocijenjen s R-kvadratom i RMSE). Na kraju se modeli treniraju i testiraju, a nakon toga uspoređuju. Pronađen je model s najboljom metrikom procjene i dobili smo uvid u to zašto su neki modeli imali bolje rezultate od drugih.
Abstract (english)
This thesis explores and defines a corrector for predicting weather variables. Weather variables in question are temperature, direct and diffuse irradiance. Data sources are explained, and then preprocessing of the same data, which includes sampling, removing missing values and merging data. Then, models used for the experiment were introduced, as well as evaluation metrics (model was evaluated with R-squared and RMSE). Finally, models are trained and tested, and after that, compared. Model with the best evaluation metrics was found and we got an insight in why some models were performing better than others.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:924587
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 on2023-10-11 08:30:28