bumsuk kim

Professor

Jeju National University

South Korea

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About

Professor Bumsuk Kim is a faculty member at Jeju National University in South Korea. His research focuses on wind energy, with recent publications addressing topics such as performance degradation in aging wind turbines, machine learning applications for wind power prediction, and the effects of atmospheric conditions on energy production. Through his work, he contributes significantly to the understanding of renewable energy systems and their economic implications.

Articles (11)

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2025

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2025

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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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2021

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2021

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2021

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2020

Collaborators (2)

Daeyoung Kim

Pusan National University

SOUTH KOREA

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Wonbae Jeon

Assistant Professor

Pusan National University

SOUTH KOREA

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bumsuk kim

Research Interests

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Articles (11)

Quantification of performance degradation due to wind turbine aging: Estimating the reduction in annual energy production using the annual degradation rate

Evaluating the Performance of Machine Learning-Based Stacking Ensemble Models for Wind Power Prediction

Exploring wind curtailment effects and economic implications in the growing variable renewable energy penetration

Effect of Wind-Wave Misalignment and Yaw Error on Power Performance and Dynamic Response of 15 MW Floating Offshore Wind Turbine

Contribution of meteorological factors based on explainable artificial intelligence in predicting wind farm power production using machine learning algorithms

Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability

Power Performance Analysis Based on Savonius Wind Turbine Blade Design and Layout Optimization through Rotor Wake Flow Analysis

Numerical analysis of the effect of vortex generator on inboard region of wind turbine blade

Differences in wind farm energy production based on the atmospheric stability dissipation rate: Case study of a 30 MW onshore wind farm

Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear

Effect of multiple load reduction control systems on the ultimate load and fatigue load of 4 MW class wind turbine

Collaborators (2)

Daeyoung Kim

Wonbae Jeon

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