Swarm intelligence for energy-efficient heating, ventilation, and air conditioning (HVAC) systems: A case study in smart buildings

Swarm intelligence for energy-efficient heating, ventilation, and air conditioning (HVAC) systems: A case study in smart buildings

This research utilizes swarm intelligence algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and hybrid PSO-ACO-to optimize energy efficiency and thermal comfort in smart building HVAC systems. A thorough experimental analysis was done in a 500-kW cooling capacity smart bui...

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Bibliographic Details
Main Authors: Vinoth Kanna I, Raja Subramani, Maher Ali Rusho, Shubham Sharma, Ramachandran T, Abinash Mahapatro, Deepak Gupta, Jasmina Lozanovic
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Case Studies in Thermal Engineering
Subjects:
Swarm intelligence
Particle swarm optimization
Ant colony optimization
HVAC optimization
Energy efficiency
Smart buildings
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25010834
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http://www.sciencedirect.com/science/article/pii/S2214157X25010834

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