A study on long-term industrial electricity consumption and carbon emission forecasting methods base...
A study on long-term industrial electricity consumption and carbon emission forecasting methods based on TimesNet models
About this item
Full title
Author / Creator
Feng, Xiaowei , Fu, Jiayu , Zhang, Zhili , Li, Jingjie , Li, Tianyu and Zhao, Minrui
Publisher
Bristol: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Bristol: IOP Publishing
Subjects
More information
Scope and Contents
Contents
Aiming at the prediction problem of industrial electricity consumption and carbon emission, a TimesNet model is established to improve the accuracy of industrial electricity consumption and carbon emission prediction. Five significant influencing factors were screened out by grey correlation analysis; based on the energy consumption dataset of an i...
Alternative Titles
Full title
A study on long-term industrial electricity consumption and carbon emission forecasting methods based on TimesNet models
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3089492137
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3089492137
Other Identifiers
ISSN
1742-6588
E-ISSN
1742-6596
DOI
10.1088/1742-6596/2814/1/012019
