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Research Article
Computational Intelligence and Neuroscience
Volume 2018, Article ID 7080564, 1 page
https://doi.org/10.1155/2018/7080564
Corrigendum

Corrigendum to “Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature”

1IoT Research Center, PNU, Busan, Republic of Korea
2Pusan National University, Busan, Republic of Korea

Correspondence should be addressed to Jihyun Kim; moc.liamg@000sphjk

Received 17 April 2018; Accepted 22 April 2018; Published 30 April 2018

Copyright © 2018 Jihyun Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In the article titled “Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature” [1], an acknowledgment should be added as follows.

This material is based upon work supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under Industrial Technology Innovation Program (10073236).

References

  1. J. Kim, T.-T.-H. Le, and H. Kim, “Nonintrusive load monitoring based on advanced deep learning and novel signature,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 4216281, 22 pages, 2017. View at Publisher · View at Google Scholar · View at Scopus