Research and Practice of Steam Demand Forecasting Model in Intelligent System for Industrial Enterprises

Autor:	Zhihui Ye, Jie Qian, Xun Zhang, Nanzhe Ding, Zhejian Sun
Rok vydání:	2021
Předmět:	History Business Demand forecasting Environmental economics Computer Science Applications Education
Zdroj:	Journal of Physics: Conference Series. 1927:012019
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1927/1/012019
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::180e5bb1ec5ddc1b194188218a5d5862 https://doi.org/10.1088/1742-6596/1927/1/012019 Zobrazit plný text záznamu