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

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

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 c...

Full description

Bibliographic Details
Main Authors: Pei Yuan, Zhenglin Lei, Qinghui Zeng, Yixiao Wu, Yanli Lu, Chaolong Hu
Format: Article
Language:English
Published: De Gruyter 2021-07-01
Series:Open Physics
Subjects:
food refrigerated display cabinet
load forecasting
improved particle swarm algorithm
complementary ensemble empirical mode decomposition
Online Access:https://doi.org/10.1515/phys-2021-0043

Internet

https://doi.org/10.1515/phys-2021-0043

Similar Items