Impact of Building Design Parameters on Daylighting Metrics Using an Analysis, Prediction, and Optimization Approach Based on Statistical Learning Technique

Impact of Building Design Parameters on Daylighting Metrics Using an Analysis, Prediction, and Optimization Approach Based on Statistical Learning Technique

Daylighting metrics are used to predict the daylight availability within a building and assess the performance of a fenestration solution. In this process, building design parameters are inseparable from these metrics; therefore, we need to know which parameters are truly important and how they impa...

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Bibliographic Details
Main Authors: Jaewook Lee, Mohamed Boubekri, Feng Liang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sustainability
Subjects:
daylighting
architectural design
building simulation
machine learning
data mining
Online Access:http://www.mdpi.com/2071-1050/11/5/1474

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