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Geun Young Yun

Professor

Kyungpook National University

South Korea

Research Interests

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About

Geun Young Yun is a Professor at Kyung Hee University in South Korea. His research areas focus on urban climate, energy efficiency, and machine learning applications in design and control. Recent articles include studies on urban overheating, building energy simulations, and the impact of urban warming on vulnerable populations. Additionally, he has explored the integration of convolutional neural networks in modeling illuminance distribution and occupant behavior.

Articles (18)

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (3)

Hassan Khan

Lecturer (Assistant Professor)

Central Queensland University

AUSTRALIA

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Jack Ngarambe

Research Professor

Kyungpook National University

SOUTH KOREA

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Mattheos Santamouris

University of New South Wales

AUSTRALIA

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Geun Young Yun

Research Interests

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Articles (18)

Overheating of Cities: Magnitude, Characteristics, Impact, Mitigation and Adaptation, and Future Challenges

Overheating of Cities: Magnitude, Characteristics, Impact, Mitigation and Adaptation, and Future Challenges

Coupling convolutional neural networks with gated recurrent units to model illuminance distribution from light pipe systems

Coupling urban climate modeling and city-scale building energy simulations with the statistical analysis: Climate and energy implications of high albedo materials in Seoul

Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO2 in a kindergarten

The Impact of Urban Warming on the Mortality of Vulnerable Populations in Seoul

A review on the current usage of machine learning tools for daylighting design and control

The Impact of Urban Warming on the Mortality of Vulnerable Populations in Seoul

A review on the current usage of machine learning tools for daylighting design and control

Geographically extended occupant clothing behavior model using convolutional neural networks with hyperband technique

Influence of Tree Canopy Coverage and Leaf Area Density on Urban Heat Island Mitigation

Influences of Spectral Power Distribution on Circadian Energy, Visual Comfort and Work Performance

Using deep-learning to forecast the magnitude and characteristics of urban heat island in Seoul Korea

A Novel Hybrid Deep Neural Network Model to Predict the Refrigerant Charge Amount of Heat Pumps

ENERGY AND FEASIBILITY ANALYSIS OF APPLYING BIO-BASED PHASE CHANGE MATERIALS TO BUILDINGS IN EAST ASIA

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls

Predicting the magnitude and the characteristics of the urban heat island in coastal cities in the proximity of desert landforms. The case of Sydney

Using deep learning approaches with variable selection process to predict the energy performance of a heating and cooling system

Collaborators (3)

Hassan Khan

Jack Ngarambe

Mattheos Santamouris

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