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Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia
Energy reports, 12 (2024); 3595-3606. https://doi.org/10.1016/j.egyr.2024.09.039
Begić Juričić, Hana; Krstić, Hrvoje

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Begić Juričić, H. i Krstić, H. (2024). Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia. Energy reports, 12., 3595-3606. doi: 10.1016/j.egyr.2024.09.039

Begić Juričić, Hana i Hrvoje Krstić. "Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia." Energy reports, vol. 12, 2024, str. 3595-3606. https://doi.org/10.1016/j.egyr.2024.09.039

Begić Juričić, Hana i Hrvoje Krstić. "Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia." Energy reports 12 (2024): 3595-3606. https://doi.org/10.1016/j.egyr.2024.09.039

Begić Juričić, H. i Krstić, H. (2024) 'Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia', Energy reports, 12, str. 3595-3606. doi: 10.1016/j.egyr.2024.09.039

Begić Juričić H, Krstić H. Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia. Energy reports [Internet]. 2024. [pristupljeno 04.02.2025.];12:3595-3606. doi: 10.1016/j.egyr.2024.09.039

H. Begić Juričić i H. Krstić, "Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia", Energy reports, vol. 12, str. 3595-3606, 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:133:937757. [Citirano: 04.02.2025.]

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Naslov (engleski)Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia
AutorHana Begić Juričić
AutorHrvoje Krstić
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Građevinski i arhitektonski fakultet Osijek
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
This paper presents a study conducted in Osijek-Baranja County, Croatia, to predict electrical energy consumption in school buildings. Data from the Energy Management Information System (EMIS) database for primary and secondary schools were analyzed using Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN). The ANN model achieved a high R² of 0957 in the training set, with lower Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) than the MLR model, which had an R² of 0950. On the validation set, the ANN model maintained an R² of 0954 and showed slightly better performance with a lower Coefficient of Variation of RMSE (CVRMSE) of 19,79 %, compared to the MLR model’s CVRMSE of 20,50 %. These results indicate that the ANN model generally provides more accurate and reliable predictions for energy consumption in school buildings. However, both models provided a robust positive correlation between the predicted and actual values.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaEnergy reports
Brojčani podacivol. 12, str. 3595-3606
e-ISSN2352-4847
DOIhttps://doi.org/10.1016/j.egyr.2024.09.039
URN:NBNurn:nbn:hr:133:937757
Datum objave publikacije2024
URL dokumentahttps://www.sciencedirect.com/science/article/pii/S2352484724006152
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje-Nekomercijalno-Bez prerada 4.0 međunarodna (CC BY-NC-ND 4.0)
Datum i vrijeme pohrane2025-02-04 08:47:26