Artificial neural network intelligent technique and multiple nonlinear regression for prediction and optimization of the transmittance of lightpipes and implementation in BIM

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Artificial neural network intelligent technique and multiple nonlinear regression for prediction and optimization of the transmittance of lightpipes and implementation in BIM

Daylighting features prominently in sustainable building design. It has been proven that daylighting not only saves the electric lighting energy consumption, but also improves the visual comfort and occupants’ health. A number of daylighting designs and control strategies have been presented and pra...

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Bibliographic Details
Main Author:	Zhang, Li
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Daylighting; Light pipes; Building Information Modelling; Light pipe performance; Prediction model
Online Access:	https://eprints.nottingham.ac.uk/66059/

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