Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder-Reference-Cited by-同舟云学术

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Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder

Published:2022-01-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Lee Sangkeum¹,Jin Hojun²,Nengroo Sarvar Hussain²,Doh Yoonmee¹,Lee Chungho¹,Heo Taewook¹,Har Dongsoo²

Affiliation:

1. Environment ICT Research Section, Electronics and Telecommunications Research Institute (ETRI),Daejeon,South Korea,34141

2. The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology (KAIST),Daejeon,South Korea,34141

Funder

Korea Institute of Energy Technology Evaluation and Planning (KETEP)

Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730107/9730121/09730398.pdf?arnumber=9730398

Reference30 articles.

1. Application of Deep Learning for Fault Diagnostic in Induction Machine’s Bearings

2. Charging Distributed Sensor Nodes Exploiting Clustering and Energy Trading

3. Distributed Sensor Nodes Charged by Mobile Charger with Directional Antenna and by Energy Trading for Balancing

4. Identification of Outliers

5. Calibration of building energy models for retrofit analysis under uncertainty

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