Seunghyoung Ryu

According to our database, Seunghyoung Ryu authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Untrained Neural Networks Detect Anomalies?

Seunghyoung Ryu, Yonggyun Yu, Hogeon Seo

IEEE Trans. Ind. Informatics, April, 2024

Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting.

Seunghyoung Ryu, Yonggyun Yu

IEEE Trans. Smart Grid, 2024

2022

An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system.

Kyungho Jin, Hyeonmin Kim, Seunghyoung Ryu, Seung-Geun Kim, Jinkyun Park

Reliab. Eng. Syst. Saf., 2022

Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal-hydraulic code.

Seunghyoung Ryu, Hyeonmin Kim, Seung-Geun Kim, Kyungho Jin, Jaehyun Cho, Jinkyun Park

Expert Syst. Appl., 2022

Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data.

Seunghyoung Ryu, Jiyeon Yim, Junghoon Seo, Yonggyun Yu, Hogeon Seo

IEEE Access, 2022

2020

Denoising Autoencoder-Based Missing Value Imputation for Smart Meters.

Seunghyoung Ryu, Minsoo Kim, Hongseok Kim

IEEE Access, 2020

2019

Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles.

Yohwan Choi, Seunghyoung Ryu, Kyungnam Park, Hongseok Kim

IEEE Access, 2019

2018

Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market.

Seunghyoung Ryu, Sunghwan Bae, Jong-Uk Lee, Hongseok Kim

IEEE Access, 2018

Residential Load Profile Clustering via Deep Convolutional Autoencoder.

Seunghyoung Ryu, Hyungeun Choi, Hyoseop Lee, Hongseok Kim, Vincent W. S. Wong

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Short-Term Load Forecasting based on ResNet and LSTM.

Hyungeun Choi, Seunghyoung Ryu, Hongseok Kim

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2016

Deep neural network based demand side short term load forecasting.

Seunghyoung Ryu, Jaekoo Noh, Hongseok Kim

Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

2014

A framework for baseline load estimation in demand response: Data mining approach.

Saehong Park, Seunghyoung Ryu, Yohwan Choi, Hongseok Kim

Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014