Optimization of multi-energy storage in urban building clusters

Optimization of multi-energy storage in urban building clusters

A data-driven optimization framework was developed to enhance energy performance in building clusters through multi-energy storage systems, combining electrical and thermal solutions. The approach used surrogate modeling, symbolic regression, and genetic programming to simulate energy consumption, i...

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Bibliographic Details
Main Authors: Sameer Algburi, Aymen Mohammed, Hassan Falah Fakhruldeen, Ibrahim Abdullah, Israa Alhani, Ali Khudhair, Qusay Hassan, Michael Ssebunya, Feryal Ibrahim Jabbar
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Energy management
Storage systems
Optimization
Demand response
Efficiency
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025014975
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