19 results on '"Ryu, Seunghyoung"'
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2. Probabilistic deep learning model as a tool for supporting the fast simulation of a thermal–hydraulic code
3. An approach to constructing effective training data for a classification model to evaluate the reliability of a passive safety system
4. Quantile-Mixer: A Novel Deep Learning Approach for Probabilistic Short-Term Load Forecasting
5. Development of a Checklist for Predicting Suicidality Based on Risk and Protective Factors: The Gwangju Checklist for Evaluation of Suicidality
6. Quantile Autoencoder With Abnormality Accumulation for Anomaly Detection of Multivariate Sensor Data
7. Development of the Deep Learning Based Fast Simulation for Reducing the Uncertainty in Probabilistic Safety Assessment
8. Convolutional Autoencoder Based Feature Extraction and Clustering for Customer Load Analysis
9. Denoising Autoencoder-Based Missing Value Imputation for Smart Meters
10. Machine Learning-Based Lithium-Ion Battery Capacity Estimation Exploiting Multi-Channel Charging Profiles
11. Short-Term Load Forecasting based on ResNet and LSTM
12. Residential Load Profile Clustering via Deep Convolutional Autoencoder
13. Gaussian Residual Bidding Based Coalition for Two-Settlement Renewable Energy Market
14. Coalition-based bidding strategies for integrating renewable energy sources in electricity market
15. Robust Operation of Energy Storage System with Uncertain Load Profiles
16. Deep Neural Network Based Demand Side Short Term Load Forecasting
17. Customer Load Pattern Analysis using Clustering Techniques
18. Data-Driven Baseline Estimation of Residential Buildings for Demand Response
19. A framework for baseline load estimation in demand response: Data mining approach
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