magistrsko delo
Jure Lečnik (Author), Tomaž Košir (Mentor), Dejan Velušček (Co-mentor)

Abstract

Napoved urne porabe električne energije za dan vnaprej z metodami strojnega učenja

Keywords

nevronske mreže;metoda podpornih vektorjev;SVM;SVR;poraba elektrike;predprocesiranje podatkov;xgboost;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FMF - Faculty of Mathematics and Physics
Publisher: [J. Lečnik]
UDC: 51
COBISS: 18214233 Link will open in a new window
Views: 976
Downloads: 326
Average score: 0 (0 votes)
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Other data

Secondary language: English
Secondary title: Forecast of hourly day-ahead electricity consumption with machine learning methods
Secondary keywords: neural networks;SVM;SVR;electricity consumption;data preprocessing;xgboost;
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Ljubljani, Fak. za matematiko in fiziko, Oddelek za matematiko, Finančna matematika - 2. stopnja
Pages: 57 str.
ID: 10927460
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