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Seunghyoung Ryu
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2020 – today
- 2024
- [j8]Seunghyoung Ryu
, Yonggyun Yu
, Hogeon Seo
:
Can Untrained Neural Networks Detect Anomalies? IEEE Trans. Ind. Informatics 20(4): 6477-6488 (2024) - [j7]Seunghyoung Ryu
, Yonggyun Yu
:
Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting. IEEE Trans. Smart Grid 15(2): 2237-2250 (2024) - 2022
- [j6]Seunghyoung Ryu
, Jiyeon Yim, Junghoon Seo, Yonggyun Yu
, Hogeon Seo
:
Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data. IEEE Access 10: 70428-70439 (2022) - [j5]Seunghyoung Ryu, Hyeonmin Kim, Seung-Geun Kim, Kyungho Jin, Jaehyun Cho, Jinkyun Park:
Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal-hydraulic code. Expert Syst. Appl. 200: 116966 (2022) - [j4]Kyungho Jin
, Hyeonmin Kim, Seunghyoung Ryu
, Seung-Geun Kim, Jinkyun Park
:
An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system. Reliab. Eng. Syst. Saf. 222: 108446 (2022) - 2020
- [j3]Seunghyoung Ryu
, Minsoo Kim
, Hongseok Kim
:
Denoising Autoencoder-Based Missing Value Imputation for Smart Meters. IEEE Access 8: 40656-40666 (2020)
2010 – 2019
- 2019
- [j2]Yohwan Choi, Seunghyoung Ryu, Kyungnam Park, Hongseok Kim
:
Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles. IEEE Access 7: 75143-75152 (2019) - 2018
- [j1]Seunghyoung Ryu, Sunghwan Bae
, Jong-Uk Lee, Hongseok Kim
:
Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market. IEEE Access 6: 43029-43038 (2018) - [c4]Hyungeun Choi, Seunghyoung Ryu, Hongseok Kim:
Short-Term Load Forecasting based on ResNet and LSTM. SmartGridComm 2018: 1-6 - [c3]Seunghyoung Ryu, Hyungeun Choi, Hyoseop Lee, Hongseok Kim, Vincent W. S. Wong
:
Residential Load Profile Clustering via Deep Convolutional Autoencoder. SmartGridComm 2018: 1-6 - 2016
- [c2]Seunghyoung Ryu, Jaekoo Noh, Hongseok Kim:
Deep neural network based demand side short term load forecasting. SmartGridComm 2016: 308-313 - 2014
- [c1]Saehong Park, Seunghyoung Ryu, Yohwan Choi, Hongseok Kim:
A framework for baseline load estimation in demand response: Data mining approach. SmartGridComm 2014: 638-643
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