Methods to Optimize Carbon Footprint of Buildings in Regenerative Architectural Design with the Use of Machine Learning, Convolutional Neural Network, and Parametric Design

Methods to Optimize Carbon Footprint of Buildings in Regenerative Architectural Design with the Use of Machine Learning, Convolutional Neural Network, and Parametric Design

The analyzed research issue provides a model for Carbon Footprint estimation at an early design stage. In the context of climate neutrality, it is important to introduce regenerative design practices in the architect’s design process, especially in early design phases when the possibility of modifyi...

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Bibliographic Details
Main Authors: Mateusz Płoszaj-Mazurek, Elżbieta Ryńska, Magdalena Grochulska-Salak
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
life cycle assessment
parametric
optimization
artificial intelligence
AI
algorithms
Online Access:https://www.mdpi.com/1996-1073/13/20/5289

Internet

https://www.mdpi.com/1996-1073/13/20/5289

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