2022 Annual Modeling and Simulation Conference (ANNSIM) 2022
DOI: 10.23919/annsim55834.2022.9859413
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Predicting Cooling Energy Demands of Adaptive Facades Using Artificial Neural Network

Abstract: Adaptive Façades (AFs) have proven to be effective as a building envelope that can enhance energy efficiency and thermal comfort. However, evaluating the performance of these AFs using the current building performance simulation (BPS) tools is complex, time-consuming, and computationally intensive. These limitations can be overcome by using a machine learning (ML) model as a method to assess the AF system efficiently during the early design stage. This study presents an alternative approach using an Artificial… Show more

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Cited by 2 publications
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