Designing energy-efficient buildings in urban centers through machine learning and enhanced clean water managements

Rainwater Harvesting (RWH) is increasingly recognized as a vital sustainable practice in urban environments, aimed at enhancing water conservation and reducing energy consumption. This study introduces an innovative integration of nano-composite materials as Silver Nanoparticles (AgNPs) into RWH sys...

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Veröffentlicht in:	Environmental research 2024-11, Vol.260, p.119526, Article 119526
Hauptverfasser:	Chen, Ximo, Zhang, Zhaojuan, Abed, Azher M., Lin, Luning, Zhang, Haqi, Escorcia-Gutierrez, José, Shohan, Ahmed Ali A., Ali, Elimam, Xu, Huiting, Assilzadeh, Hamid, Zhen, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Cities Conservation of Water Resources - methods Energy efficiency in buildings Environmental impact assessment Machine Learning Machine learning regression Metal Nanoparticles Nano-composite materials Rain Rainwater harvesting (RWH) Silver Silver nanoparticles Support Vector Machine Water Purification - methods
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