Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Doh, Yoonmee"'
Autor:
Lee, Sangkeum, Nengroo, Sarvar Hussain, Jin, Hojun, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
With the growth of smart building applications, occupancy information in residential buildings is becoming more and more significant. In the context of the smart buildings' paradigm, this kind of information is required for a wide range of purposes,
Externí odkaz:
http://arxiv.org/abs/2209.11520
Autor:
Lee, Sangkeum, Nengroo, Sarvar Hussain, Jin, Hojun, Heo, Taewook, Doh, Yoonmee, Lee, Chungho, Har, Dongsoo
In replacing fossil fuels with renewable energy resources for carbon neutrality, the unbalanced resource production of intermittent wind and photovoltaic (PV) power is a critical issue for peer-to-peer (P2P) power trading. To address this issue, a re
Externí odkaz:
http://arxiv.org/abs/2209.07744
Autor:
Lee, Sangkeum, Nengroo, Sarvar Hussain, Jin, Hojun, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time was obtained from 900 households of single apartments. To detect outliers and missing value
Externí odkaz:
http://arxiv.org/abs/2207.09784
Autor:
Lee, Sangkeum, Jin, Hojun, Nengroo, Sarvar Hussain, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
Anomaly detection is concerned with a wide range of applications such as fault detection, system monitoring, and event detection. Identifying anomalies from metering data obtained from smart metering system is a critical task to enhance reliability,
Externí odkaz:
http://arxiv.org/abs/2112.03275
Autor:
Doh, Yoonmee.
Thesis (Ph. D.)--University of Florida, 2003.
Title from title page of source document. Includes vita. Includes bibliographical references.
Title from title page of source document. Includes vita. Includes bibliographical references.
Externí odkaz:
http://purl.fcla.edu/fcla/etd/UFE0000675
Akademický článek
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Autor:
Lee, Sangkeum, Nengroo, Sarvar Hussain, Jin, Hojun, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
Publikováno v:
ETRI Journal; Aug2023, Vol. 45 Issue 4, p650-665, 16p
Autor:
Lee, Sangkeum, Jin, Hojun, Nengroo, Sarvar Hussain, Doh, Yoonmee, Lee, Chungho, Heo, Taewook, Har, Dongsoo
Publikováno v:
2022 IEEE International Conference on Consumer Electronics (ICCE).
Anomaly detection is concerned with a wide range of applications such as fault detection, system monitoring, and event detection. Identifying anomalies from metering data obtained from smart metering system is a critical task to enhance reliability,
Publikováno v:
In AEUE - International Journal of Electronics and Communications 2011 65(2):123-131
Akademický článek
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