1 citations · 2 across the 4 of their papers we have counts for
4 papers
Power Management in Smart Residential Building with Deep Learning Model for Occupancy Detection by Usage Pattern of Electric Appliances
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
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' paradig…
Reinforcement Learning-Based Cooperative P2P Power Trading between DC Nanogrid Clusters with Wind and PV Energy Resources
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
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 i…
Anomaly Detection of Smart Metering System for Power Management with Battery Storage System/Electric Vehicle
Sangkeum Lee, Sarvar Hussain Nengroo, Hojun Jin +4
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…
Smart Metering System Capable of Anomaly Detection by Bi-directional LSTM Autoencoder
Sangkeum Lee, Hojun Jin, Sarvar Hussain Nengroo +4
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…