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A Review on Application of Machine Learning in Building Performance Prediction
Designers usually use Building Performance Simulation (BPS) to support decision making in facing design requirements and expected building performance. However, the fact is that BPS still experiences several limitations, such as BPS requires high computation time in assessing various design options. Machine learning is considered capable of solving the problem that the existing BPS has. Research on this problem has been conducted to provide solutions and prove the reliability of machine learning in predicting building performance. Therefore, this paper aims to discuss the research and overview of how machine learning has been used in predicting building performance. The results show that, performance prediction using machine learning has been developed on energy and environmental performance. Also, machine learning can significantly reduce the prediction time without reducing its accuracy.
A Review on Application of Machine Learning in Building Performance Prediction
Designers usually use Building Performance Simulation (BPS) to support decision making in facing design requirements and expected building performance. However, the fact is that BPS still experiences several limitations, such as BPS requires high computation time in assessing various design options. Machine learning is considered capable of solving the problem that the existing BPS has. Research on this problem has been conducted to provide solutions and prove the reliability of machine learning in predicting building performance. Therefore, this paper aims to discuss the research and overview of how machine learning has been used in predicting building performance. The results show that, performance prediction using machine learning has been developed on energy and environmental performance. Also, machine learning can significantly reduce the prediction time without reducing its accuracy.
A Review on Application of Machine Learning in Building Performance Prediction
Lecture Notes in Civil Engineering
Kristiawan, Stefanus Adi (editor) / Gan, Buntara S. (editor) / Shahin, Mohamed (editor) / Sharma, Akanshu (editor) / Triadji, R. W. (author) / Berawi, M. A. (author) / Sari, M. (author)
International Conference on Rehabilitation and Maintenance in Civil Engineering ; 2021 ; Surakarta, Indonesia
2022-07-19
7 pages
Article/Chapter (Book)
Electronic Resource
English
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