Search Results - "Yu, Jungwon"

A New Input Selection Algorithm Using the Group Method of Data Handling and Bootstrap Method for Support Vector Regression Based Hourly Load Forecasting by Yu, Jungwon, Park, June Ho, Kim, Sungshin

“…Electric load forecasting is indispensable for the effective planning and operation of power systems. Various decisions related to power systems depend on the…”
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Real-time slurry characteristic analysis during ball milling using vibration data by Jeong, Hyeondeok, Yu, Jungwon, Lee, Youngjae, Ryu, Sung-Soo, Kim, Seiki

“…The characteristics of an internal slurry were analyzed during ball milling, which is commonly utilized in ceramic processing. We used a device with a capacity…”
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A Fault Isolation Method via Classification and Regression Tree-Based Variable Ranking for Drum-Type Steam Boiler in Thermal Power Plant by Yu, Jungwon, Jang, Jaeyel, Yoo, Jaeyeong, Park, June Ho, Kim, Sungshin

“…Accurate detection and isolation of possible faults are indispensable for operating complex industrial processes more safely, effectively, and economically. In…”
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A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes by Yu, Jungwon, Yoo, Jaeyeong, Jang, Jaeyel, Park, June Ho, Kim, Sungshin

“…•A novel hybrid of two data-driven techniques is proposed for fault detection.•Auto-associative kernel regression generates residuals of target…”
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Automatic structure identification of TSK fuzzy model for stock index forecasting by Jungwon Yu, Sungshin Kim

“…Among financial time-series analysis tasks, stock index forecasting has been considered as one of the challenging and difficult tasks. Since an accurate stock…”
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Analysis of individual and interaction effects of processing parameters on wet grinding performance in ball milling of alumina ceramics using statistical methods by Yu, Jungwon, Jin, So-Hyun, Raju, Kati, Lee, Youngjae, Lee, Hyun-Kwuon

“…It is of great interest and necessary to closely investigate and understand how ball milling parameters can affect the overall quality of milled ceramic…”
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A machine learning approach for ball milling of alumina ceramics by Yu, Jungwon, Raju, Kati, Jin, So-Hyun, Lee, Youngjae, Lee, Hyun-Kwuon

“…In this work, machine learning approach based on polynomial regression was explored to analyze the optimal processing parameters and predict the target…”
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Application of CART-Based Variable Ranking for Faulty Variable Isolation in Tennessee Eastman Benchmark Process by Jungwon Yu, Jonggeun Kim, Hansoo Lee, Seunghwan Jung, June Ho Park, Sungshin Kim

“…By analyzing multivariate data collected from complex industrial processes via data-driven techniques, potential process faults can be accurately detected and…”
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A novel plugged tube detection and identification approach for final super heater in thermal power plant using principal component analysis by Yu, Jungwon, Yoo, Jaeyeong, Jang, Jaeyel, Park, June Ho, Kim, Sungshin

“…During startup or normal operations, tube monitoring systems for steam boilers can considerably improve efficiency and reliability in thermal power plants…”
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Identifying chaff echoes in weather radar data using tree-initialized fuzzy rule-based classifier by Jungwon Yu, Hansoo Lee, Yeongsang Jeong, Sungshin Kim

“…In order to produce reliable weather forecasts, it is essential to discriminate non-meteorological targets from rain clouds in weather radar data…”
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Short-term hourly load forecasting using PSO-based AR model by Jungwon Yu, Hansoo Lee, Yeongsang Jeong, Sungshin Kim

“…Load forecasting is essential for effective and stable power system planning and operation. Decision making related to power system operation is influenced by…”
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Linguistic fuzzy modeling approach for daily peak load forecasting by Jungwon Yu, Hansoo Lee, Yeongsang Jeong, Sungshin Kim

“…Electric load forecasting is absolutely necessary for effective power system planning and operation. Among existing methods for load forecasting, artificial…”
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Genetic based feed-forward neural network training for chaff cluster detection by Hansoo Lee, Jungwon Yu, Yeongsang Jeong, Sungshin Kim

“…Data classification is one of the most important and fundamental problems in many decision making tasks. As traditional methods for data classification,…”
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CRPSO-based automatic TSK fuzzy model extraction for one hour ahead load forecasting by Jungwon Yu, Hansoo Lee, Yeongsang Jeong, Eun Kyeong Kim, Sungshin Kim

“…Electric load forecasting is essential for effective power system planning and operation because many decisions related to power system planning and operation…”
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Data-Driven Approach to Attemperator Steam Temperature Prediction in Biomass Power Plant by Kim, Jonggeun, Lee, Hansoo, Yu, Jungwon, Jang, Jaeyel, Yoo, Jaeyeong, Park, June Ho, Kim, Sungshin

“…Thermal power plants utilize high temperature and high pressure steam to generate electricity. The steam temperature and pressure influence power generation…”
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