Research Article
Energy Demand Forecast of Hubei Logistics Industry Based on RBF Neural Network
@INPROCEEDINGS{10.4108/eai.26-5-2023.2334201, author={Rong Zhou and JiangXue Di}, title={Energy Demand Forecast of Hubei Logistics Industry Based on RBF Neural Network}, proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={MSEA}, year={2023}, month={7}, keywords={logistics industry;energy demand predictio; rbf neural networ;multiple linear regression}, doi={10.4108/eai.26-5-2023.2334201} }- Rong Zhou
JiangXue Di
Year: 2023
Energy Demand Forecast of Hubei Logistics Industry Based on RBF Neural Network
MSEA
EAI
DOI: 10.4108/eai.26-5-2023.2334201
Abstract
With the rapid economic development in Hubei Province, the logistics industry demand has grown fast and its scale has been expanded continuously, which leads to an increase in energy consumption. It is conducive to the development of energy-saving work in the logistics industry and alleviating energy pressure by studying the energy consumption level and energy demand of the logistics industry in Hubei Province.11 main factors that affect the energy demand of the logistics industry are selected in this paper. According to the RBF neural network method, the related data of the energy demand of the logistics industry in Hubei Province from 2009 to 2017 is simulated and emulated. Based on it, the energy demand of the logistics industry in Hubei Province are predicted in 2021 and 2022.
