CASISD OpenIR  > 系统分析与管理研究所
Forecasting residential electricity consumption using a hybrid machine learning model with online search data
Gao Feng; Chi Hong; Shao Xueyan
Source PublicationApplied Energy
KeywordResidential electricity consumption forecasting Online search data Extreme learning machine Jaya
2021
Issue300Pages:1-13
DOI10.1016/j.apenergy.2021.117393
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.casisd.cn/handle/190111/11522
Collection系统分析与管理研究所
Corresponding AuthorShao Xueyan
Affiliation1.Institutes of Science and Development, Chinese Academy of Sciences, China
2.University of Chinese Academy of Sciences, China
Recommended Citation
GB/T 7714
Gao Feng,Chi Hong,Shao Xueyan. Forecasting residential electricity consumption using a hybrid machine learning model with online search data[J]. Applied Energy,2021(300):1-13.
APA Gao Feng,Chi Hong,&Shao Xueyan.(2021).Forecasting residential electricity consumption using a hybrid machine learning model with online search data.Applied Energy(300),1-13.
MLA Gao Feng,et al."Forecasting residential electricity consumption using a hybrid machine learning model with online search data".Applied Energy .300(2021):1-13.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Gao Feng]'s Articles
[Chi Hong]'s Articles
[Shao Xueyan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Gao Feng]'s Articles
[Chi Hong]'s Articles
[Shao Xueyan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Gao Feng]'s Articles
[Chi Hong]'s Articles
[Shao Xueyan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.