Convolutional sequence to sequence non‐intrusive load monitoring-Reference-Cited by-同舟云学术

Convolutional sequence to sequence non‐intrusive load monitoring

Published:2018-10-31 Issue:17 Volume:2018 Page:1860-1864
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Chen Kunjin¹,Wang Qin²,He Ziyu³,Chen Kunlong⁴,Hu Jun¹,He Jinliang¹

Affiliation:

1. Department of Electrical EngineeringTsinghua UniversityBeijingPeople's Republic of China

2. Department of Information Technology and Electrical EngineeringETH ZürichZürichSwitzerland

3. Department of Industrial and Systems EngineeringUniversity of Southern CaliforniaLos AngelesUSA

4. Department of Electrical EngineeringBeijing Jiaotong UniversityBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8352

Reference17 articles.

1. KellyJ. KnottenbeltW.: ‘Neural NILM: deep neural networks applied to energy disaggregation’.Proc. 2nd ACM Int. Conf. Embedded Systems Energy‐Efficient Built Environments Zürich Switzerland 2015 pp.55–64

2. Feedback on household electricity consumption: a tool for saving energy?;Fischer C.;Energ. Effic.,2008

3. Nonintrusive load monitoring approaches for disaggregated energy sensing: A survey;Zoha A.;Sensors,2012

4. FaustineA. MvungiN.H. KaijageS.et al.: ‘A survey on non‐intrusive load monitoring methodies and techniques for energy disaggregation problem’ arXiv preprint arXiv:1703.00785 2017

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