The research of the particle swarm optimization algorithm of the central air conditioning system based on the neural network research
GUAN Jin-lan
LAI Yu-ting
LIN Zi-hao
OU Jie-quan
Abstract：Based on the historical status and power consumption data of the air conditioning system, we establish a mathematical model based on the neural network, and use the particle swarm optimization algorithm to solve the model. The average numerical error of the output variables of the model is 1.65. The system efficiency was increased 5.56% and 10.87% respectively under the conditions of optimizing equipment and equipment state. This paper has practical implications for the research on energy conservation of the central air conditioning system.
Keywords：neural networkparticle swarm optimization algorithmenergy conservation
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 19-24 )