Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study

Genetic and Swarm Algorithms for Optimizing the Control of Building HVAC Systems Using Real Data: A Comparative Study

Buildings consume a considerable amount of electrical energy, the Heating, Ventilation, and Air Conditioning (HVAC) system being the most demanding. Saving energy and maintaining comfort still challenge scientists as they conflict. The control of HVAC systems can be improved by modeling their behavi...

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Bibliographic Details
Main Authors: Alberto Garces-Jimenez, Jose-Manuel Gomez-Pulido, Nuria Gallego-Salvador, Alvaro-Jose Garcia-Tejedor
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Mathematics
Subjects:
multi-objective optimization
genetic algorithms
evolutionary computation
swarm intelligence
Heating, Ventilation and Air Conditioning (HVAC)
metaheuristics search
Online Access:https://www.mdpi.com/2227-7390/9/18/2181

Internet

https://www.mdpi.com/2227-7390/9/18/2181

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