Cold Load Prediction Model Based on Improved PSO-BP Algorithm

Authors

Junqi Yu, 1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;
Wenqiang Jing, 1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;
Anjun Zhao, 1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;2. Xi'an University of Architecture and Technology Engineering Co., Ltd., Xi'an 710055, China; ;
Yanhuan Ren, 1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;
Zhou Meng, 2. Xi'an University of Architecture and Technology Engineering Co., Ltd., Xi'an 710055, China; ;
Xinle Huang, 1. School of Construction Equipment and Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China; ;
Yang Xue, 3. Datang Mobile Communications Equipment Co., Ltd., Xi'an 710055, China;

Abstract

Abstract: Aiming at the low correlation between input and output data and the error of prediction model in PSO-BP neural network prediction model, a combined prediction method based on JMP, PSO-BP neural network and Markov chain is proposed. The method first uses JMP data processing software to process the input data and eliminating the low coupling degree samples, then conducts PSO-BP neural network training to obtain the cold load prediction results, and finally uses markov chain to eliminate the random errors generated by the system to obtain the final prediction results. The results show that the combined prediction method has higher prediction accuracy, and the prediction result conforms to the change rule of the shopping mall load, and meets the actual application requirements.

Recommended Citation

Yu, Junqi; Jing, Wenqiang; Zhao, Anjun; Ren, Yanhuan; Meng, Zhou; Huang, Xinle; and Xue, Yang (2021) "Cold Load Prediction Model Based on Improved PSO-BP Algorithm," Journal of System Simulation: Vol. 33: Iss. 1, Article 6.
DOI: 10.16182/j.issn1004731x.joss.19-0223
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss1/6

First Page

54

Revised Date

2019-11-15

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-0223

Last Page

61

CLC

TU831;TP391

Recommended Citation

Yu Junqi, Jing Wenqiang, Zhao Anjun, Ren Yanhuan, Zhou Meng, Huang Xinle, Yang Xue. Cold Load Prediction Model Based on Improved PSO-BP Algorithm[J]. Journal of System Simulation, 2021, 33(1): 54-61.

DOI

10.16182/j.issn1004731x.joss.19-0223