Seunghyoung Ryu

Assistant Professor

Sejong University

South Korea

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About

Seunghyoung Ryu is an Assistant Professor at Sejong University in South Korea. His research areas include data-driven clustering analysis, deep learning methodologies, and anomaly detection systems, as reflected in his recent publications. He focuses on applications within electric vehicle charging profiles, load forecasting, and smart meter data management.

Articles (8)

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2024

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2024

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2024

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2023

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2022

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2022

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2020

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2020

Collaborators (1)

Hogeon Seo

Associate Professor

Korea University of Science and Technology

SOUTH KOREA

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Seunghyoung Ryu

Research Interests

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Articles (8)

Can Untrained Neural Networks Detect Anomalies?

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

Data-Driven Clustering Analysis for Representative Electric Vehicle Charging Profile in South Korea

Development of deep autoencoder-based anomaly detection system for HANARO

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

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

Convolutional Autoencoder Based Feature Extraction and Clustering for Customer Load Analysis

Denoising Autoencoder-Based Missing Value Imputation for Smart Meters

Collaborators (1)

Hogeon Seo

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