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Napoved urne porabe električne energije za dan vnaprej z metodami strojnega učenja : magistrsko delo
ID Lečnik, Jure (Author), ID Košir, Tomaž (Mentor) More about this mentor... This link opens in a new window, ID Velušček, Dejan (Comentor)

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Language:Slovenian
Keywords:nevronske mreže, metoda podpornih vektorjev, SVM, SVR, poraba elektrike, predprocesiranje podatkov, xgboost
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FMF - Faculty of Mathematics and Physics
Place of publishing:Ljubljana
Publisher:[J. Lečnik]
Year:2017
Number of pages:57 str.
PID:20.500.12556/RUL-100870 This link opens in a new window
UDC:51
COBISS.SI-ID:18214233 This link opens in a new window
Publication date in RUL:18.04.2018
Views:2036
Downloads:399
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LEČNIK, Jure, 2017, Napoved urne porabe električne energije za dan vnaprej z metodami strojnega učenja : magistrsko delo [online]. Master’s thesis. Ljubljana : J. Lečnik. [Accessed 29 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=100870
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Secondary language

Language:English
Title:Forecast of hourly day-ahead electricity consumption with machine learning methods
Keywords:neural networks, SVM, SVR, electricity consumption, data preprocessing, xgboost

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