Browsing ODA Open Digital Archive by Author "Srebric, Jelena"
Now showing items 1-4 of 4
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Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models
Kim, Moon Keun; Kim, Yang-Seon; Srebric, Jelena (Peer reviewed; Journal article, 2020)This study explores approaches to evaluates correlation how significantly plug load data, occupancy rates, and local weather factors affect the actual electricity consumption of a commercial building in seasonal changes ... -
Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.
Kim, Yang Seon; Kim, Moon Keun; Fu, Nuodi; Liu, Jiying; Wang, Junqi; Srebric, Jelena (Sustainable Cities and Society (SCS);, Peer reviewed; Journal article, 2025)The study investigates the impact of data normalization on the prediction of electricity consumption in buildings using four multilayer Artificial Neural Networks (ANN) algorithms: Long Short-Term Memory Networks (LSTM), ... -
Numerical analysis of cooling potential and indoor thermal comfort with a novel hybrid radiant cooling system in hot and humid climates
Liu, Jiying; Kim, Moon Keun; Srebric, Jelena (Indoor and Built Environment;Volume 31, Issue 4, Peer reviewed; Journal article, 2021-08-27)The study investigates a hybrid radiant cooling system’s potential to achieve thermal comfort. The hybrid radiant cooling (HRC) system combines the best features of a typical all-air and conventional chilled radiant cooling ... -
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
Kim, Moon Keun; Kim, Yang-Seon; Srebric, Jelena (Peer reviewed; Journal article, 2020)This study compares building electric energy prediction approaches that use a traditional statistical method (linear regression) and artificial neural network (ANN) algorithms. We investigate how significantly occupancy ...