Data-driven optimization for mitigating energy consumption and GHG emissions in buildings

Data-driven optimization for mitigating energy consumption and GHG emissions in buildings

To cope with rapid urbanization and achieve urban sustainable development, both energy efficiency and GHG emissions in the building sector are considered as the main challenges in recent years. Multi-objective optimization will be a useful tool in energy saving and low carbon for town planning polic...

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Bibliographic Details
Main Authors: Zhang, Yan, Teoh, Bak Koon, Zhang, Limao
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Machine learning
Building energy performance
Online Access:https://hdl.handle.net/10356/179170

Internet

https://hdl.handle.net/10356/179170

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