Prediction of an Efficient Energy-Consumption Model for Existing Residential Buildings in Lebanon Using an Artificial Neural Network as a Digital Twin in the Era of Climate Change

Prediction of an Efficient Energy-Consumption Model for Existing Residential Buildings in Lebanon Using an Artificial Neural Network as a Digital Twin in the Era of Climate Change

Environmental factors, such as climate change, have serious consequences for existing buildings, including increased resource consumption and footprint, adverse health effects, and reduced comfort for the occupants. To promote sustainability and address climate change, architecture must embrace digi...

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Bibliographic Details
Main Authors: Mohamed El-Gohary, Riad El-Abed, Osama Omar
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Buildings
Subjects:
energy performance prediction
digital twin technologies
zero-energy buildings
eQuest
intelligent buildings
climate change
Online Access:https://www.mdpi.com/2075-5309/13/12/3074

Internet

https://www.mdpi.com/2075-5309/13/12/3074

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