Energy Consumption Prediction for Air-conditioning System Based on Dynamic Temperature Control

Authors

Yan Bai, School of Science, Xi'an University of Architecture and Technology, Xi'an, 710055, China;Follow
Lulu Wu, School of Science, Xi'an University of Architecture and Technology, Xi'an, 710055, China;
Yin'e He, School of Science, Xi'an University of Architecture and Technology, Xi'an, 710055, China;
Yuying Wang, School of Science, Xi'an University of Architecture and Technology, Xi'an, 710055, China;

Abstract

Abstract: To solve the problem of energy consumption prediction for air-conditioning systems implementing dynamic temperature control, we designed a dynamic temperature control strategy and obtained a dataset on the hourly energy consumption of the air-conditioning system through EnergyPlus simulation. An improved particle swarm optimization-back propagation neural network (IPSO-BPNN) prediction model was built on the basis of energy consumption analysis by an integrated method. Clustering, classification, and correlation analysis methods were integrated to mine the energy consumption pattern of the air-conditioning system and determine the input variables for the prediction model. A nonlinear change strategy was designed to adjust the inertia weight and acceleration factor of the PSO algorithm and thereby improve the training speed and optimization effect. An IPSO-BPNN model was constructed to predict the hourly energy consumption of the air-conditioning system. The results show that the convergence speed is significantly improved and that the average prediction accuracy is enhanced by 3.4%.

Recommended Citation

Bai, Yan; Wu, Lulu; He, Yin'e; and Wang, Yuying (2022) "Energy Consumption Prediction for Air-conditioning System Based on Dynamic Temperature Control," Journal of System Simulation: Vol. 34: Iss. 2, Article 19.
DOI: 10.16182/j.issn1004731x.joss.21-0741
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss2/19

First Page

366

Revised Date

2020-11-13

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0741

Last Page

375

CLC

TU831

Recommended Citation

Yan Bai, Lulu Wu, Yin'e He, Yuying Wang. Energy Consumption Prediction for Air-conditioning System Based on Dynamic Temperature Control[J]. Journal of System Simulation, 2022, 34(2): 366-375.

DOI

10.16182/j.issn1004731x.joss.21-0741