Analysis and prediction of industrial energy consumption behavior based on big data and artificial intelligence
Author:
Funder
Science and Technology Project of State Grid
Publisher
Elsevier BV
Subject
General Energy
Reference8 articles.
1. Research on energy directed technical change in China’s industry and its optimization of energy consumption pattern;Zhonghua;J Environ Manag,2019
2. A comparative study of energy consumption and efficiency of Japanese and Chinese manufacturing industry;Yue;Energy Policy,2014
3. Energy consumption and energy saving potential in clothing industry;Ahmet;Energy,2018
4. Review of energy consumption research for papermaking industry based on life cycle analysis;Yi;Chin J Chem Eng,2019
5. Decomposing the change in energy consumption in China’s nonferrous metal industry: An empirical analysis based on the LMDI method;Miao;Renew Sustain Energy Rev,2018
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