Comprehensive Assessment of Indoor Thermal in Vernacular Building Using Machine Learning Model with GAN-Based Data Imputation: A Case of Aceh Region, Indonesia

Comprehensive Assessment of Indoor Thermal in Vernacular Building Using Machine Learning Model with GAN-Based Data Imputation: A Case of Aceh Region, Indonesia

This study introduces a predictive model for estimating indoor room temperatures in vernacular building using external environmental factors such as air temperature, humidity, sunshine duration, and wind speed. The dataset was sourced from the Meteorology, Climatology, and Geophysics Agency and supp...

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Bibliographic Details
Main Authors: Muslimsyah Muslimsyah, Safwan Safwan, Andri Novandri
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Buildings
Subjects:
Rumoh Aceh
predictive model
ANN
MLR
SVR
Online Access:https://www.mdpi.com/2075-5309/15/14/2448
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