Intelligent adjustment and energy consumption optimization of the fresh air system in hospital buildings based on Fuzzy Logic and Genetic Algorithms

Abstract To improve the intelligent adjustment ability and energy consumption prediction accuracy of the fresh air system in hospital buildings, this study constructs an energy consumption prediction model based on the Back Propagation Neural Network (BPNN). Meanwhile, it introduces the Genetic Algo...

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Bibliografski detalji

Glavni autori:	Jing Peng, Maorui He, Mengting Fan
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2024-12-01
Serija:	Energy Informatics
Teme:	Fuzzy logic Genetic algorithm Fresh air system Back Propagation neural network Energy consumption optimization
Online pristup:	https://doi.org/10.1186/s42162-024-00448-7
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