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Article . 2024
License: CC BY NC ND
Full-Text: http://hdl.handle.net/10397/108209
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Applied Energy
Article . 2022 . Peer-reviewed
License: Elsevier TDM
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Semi-supervised learning based framework for urban level building electricity consumption prediction

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2022 China (People's Republic of), Hong Kong, China (People's Republic of) Publisher:Elsevier BVJournal:Applied Energy, volume 328, page 120,210 (issn: 0306-2619, Copyright policy )
Authors: Jin, X; Xiao, F; Zhang, C; Chen, Z;

doi: 10.1016/j.apenergy.2022.120210

handle: 10397/108209

Semi-supervised learning based framework for urban level building electricity consumption prediction

Abstract

202407 bcch ; Accepted Manuscript ; RGC ; Others ; the National Key Research and Development Program of China ; Hong Kong Scholars Program ; Published ; Green (AAM)

Countries
China (People's Republic of), Hong Kong, China (People's Republic of)
Related Organizations
Keywords

Credibility measurement, Open data, Building electricity consumpiton, Semisupervised learning, Urban building energy modeling

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green
Related to Research communities
Energy Research