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Yonggyun Yu
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 4
Top Topics
Load Forecasting
Neural Network
Quasi Newton
Deep Learning
Top Venues
IEEE Access
CoRR
IEEE Trans. Smart Grid
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Publications
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Seunghyoung Ryu
,
Yonggyun Yu
Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting.
IEEE Trans. Smart Grid
15 (2) (2024)
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 (2022)
Younghwan Joo
,
Yonggyun Yu
,
In Gwun Jang
Unit Module-Based Convergence Acceleration for Topology Optimization Using the Spatiotemporal Deep Neural Network.
IEEE Access
9 (2021)
Yonggyun Yu
,
Taeil Hur
,
Jaeho Jung
Deep learning for topology optimization design.
CoRR
(2018)