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

Lečnik, Jure (author), Košir, Tomaž (mentor), Velušček, Dejan (co-mentor)

• 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
• UDC: 51
• COBISS.SI-ID: 18214233
• Publication date in RUL: 18.04.2018

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