Non-intrusive load monitoring based on MoCo_v2, time series self-supervised learning-Reference-Cited by-同舟云学术

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Non-intrusive load monitoring based on MoCo_v2, time series self-supervised learning

Published:2024-08 Issue: Volume:317 Page:114374
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Chen Tie^ORCID,Gao Jiaqi,Yuan Yimin,Guo Shinan,Yang Pingping

Publisher

Elsevier BV

Reference40 articles.

1. Advances toward a net-zero global building sector;Ürge-Vorsatz;Annu. Rev. Env. Resour.,2020

2. A review on buildings energy information: Trends, end-uses, fuels and drivers;González-Torres;Energy Rep.,2022

3. Can non-intrusive load monitoring be used for identifying an appliance’s anomalous behaviour?;Rashid;Appl. Energy,2019

4. Review of smart meter data analytics: Applications, methodologies, and challenges;Wang;IEEE Trans. Smart Grid,2018

5. Enhancing electricity audits in residential buildings with nonintrusive load monitoring;Berges;J. Ind. Ecol.,2010

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