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master's thesis
Predviđanje proizvodnje energije pomoću analize vremenskih serija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:806501
Zorčić, Sara
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Zorčić, S. (2021). Predviđanje proizvodnje energije pomoću analize vremenskih serija (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:806501

Zorčić, Sara. "Predviđanje proizvodnje energije pomoću analize vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:806501

Zorčić, Sara. "Predviđanje proizvodnje energije pomoću analize vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:806501

Zorčić, S. (2021). 'Predviđanje proizvodnje energije pomoću analize vremenskih serija', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:806501

Zorčić S. Predviđanje proizvodnje energije pomoću analize vremenskih serija [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 July 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:806501

S. Zorčić, "Predviđanje proizvodnje energije pomoću analize vremenskih serija", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:806501

Metadata
TitlePredviđanje proizvodnje energije pomoću analize vremenskih serija
Title (english)Energy Generation Prediction Using Time Series Analysis
AuthorSara Zorčić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu kreirani su modeli strojnog učenja u svrhu predviđanja vremenskih serija za studijski slučaj predikcije proizvedene energije u vjetroelektrani. Opisane su metode analize vremenskih serija i objašnjene metode prognoziranja neuronskim mrežama. Koristeći Pythonove biblioteke programski su ostvareni modeli LSTM mreže, GRU mreže i dvosmjerno povratne mreže. Pomoću njih je napravljeno predviđanje budućih vrijednosti energije na temelju vremenskih uvjeta brzine i smjera vjetra. Mjerama vrednovanja napravljena je usporedba točnosti modela. Svi rezultati ispitivanja prikazani su grafički.
Abstract (english)
In this thesis, machine learning models were created in order to predict time series for case study of predicting energy production of wind power plant. Methods of time series analysis and time series prediction using neural networks are described. Python based libraries are used to implement models of LSTM network, GRU network, and bidirectional recursive neural network. With those models using wind speed and wind direction variables from dataset, prediction of future energy production values was made. Using forecast metrics models were evaluated and compared. All study results are described and visualized.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:806501
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 09:23:22