Research and Practice of Steam Demand Forecasting Model in Intelligent System for Industrial Enterprises. Issue 1 (May 2021)

• Record Type: Journal Article
• Authors: Qian, Jie; Ye, Zhihui; Ding, Nanzhe; Sun, Zhejian; Zhang, Xun
• Is Part Of: Journal of physics. Volume 1927:Issue 1(2021)
• Publication Date: 2021-05
• Subjects: Steam demand -- Forecasting model -- Mathematical analysis -- Industrial enterprises; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1927/1/012019
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Under the environment of China's continuous promotion of energy conservation and emission reduction, the idea of on-demand energy supply of steam power system in tobacco manufacturing industry is put forward. Through the research and optimization of prediction algorithm, we analyze the historical data and energy supply process of steam energy, and establish the on-demand energy supply prediction model of steam energy, in order to realize the on-demand energy supply prediction of steam energy in tobacco manufacturing industry.