Blar i TKD - Institutt for bygg- og energiteknikk på tidsskrift "Sustainable Cities and Society (SCS)"
Viser treff 1-3 av 3
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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
(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 ... -
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
(Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ... -
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
(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 ...