Load forecasting of refrigerated display cabinet based on CEEMD–IPSO–LSTM combined model

Yuan Pei,Lu Yanli,Zeng Qinghui,Wu Yixiao,Lei Zhenglin,Hu Chaolong

doi:10.1515/phys-2021-0043

Abstract

Abstract The load of the showcase is a nonlinear and unstable time series data, and the traditional forecasting method is not applicable. Deep learning algorithms are introduced to predict the load of the showcase. Based on the CEEMD–IPSO–LSTM combination algorithm, this paper builds a refrigerated display cabinet load forecasting model. Compared with the forecast results of other models, it finally proves that the CEEMD–IPSO–LSTM model has the highest load forecasting accuracy, and the model’s determination coefficient is 0.9105, which is obviously excellent. Compared with other models, the model constructed in this paper can predict the load of showcases, which can provide a reference for energy saving and consumption reduction of display cabinet.

Highlights

In recent years, with the deepening of global integration, the cross-border circulation of food has been very common
Wang et al [10] employed long short-term memory (LSTM) model to predict the energy consumption of the refrigeration system, and the results show that the root mean square error (RMSE) of LSTM load forecasting model was 19.7% lower than BPNN, 54.85% lower than ARMA, and 64.59% lower than ARFIMA
2 Research methods and principles. This part is based on the Complementary Ensemble Modal Decomposition (CEEMD)–improved particle swarm optimization (IPSO)–LSTM algorithm to build a model to predict the load of food refrigerated display cabinets

Summary

Introduction

With the deepening of global integration, the cross-border circulation of food has been very common. The quality of food which is sensitive to temperature mainly depends on the cold chain. The refrigerated display cabinets are the last link of the cold chain transportation, are an important platform for food preservation and customer-oriented, and an important place for consumers, with better market prospects. A strong cold curtain is introduced to isolate the external warm air in order to maintain the refrigerated temperature of the display cabinet. The food temperature in the food refrigerated display cabinet needs to consume a lot of electricity. The electricity consumed by food refrigerated display cabinets accounts for about 50–60% of the total electricity consumption in supermarkets [2]. Under the condition of ensuring the quality of stored food in display cabinets, the energy saving is an important focus

Methods

Results

Conclusion