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Geun Young Yun

Professor

Kyungpook National University

South Korea

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Research Interests

Climatology

60%

Climate Science

60%

Climate Dynamics

50%

Deep Learning

40%

Photophysics

40%

Air Conditioning

30%

Environmental Physics

30%

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Articles18

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

Year:

2023

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

Year:

2023

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

Year:

2023

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

Year:

2023

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

Year:

2023

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

Year:

2022

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

Year:

2022

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

Year:

2022

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

Year:

2022

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

Year:

2022

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

Year:

2021

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

Year:

2021

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

Year:

2020

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

Year:

2020

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

Year:

2020

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

Year:

2020

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

Year:

2020

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

Year:

2020

Collaborators2

Jack Ngarambe

Research Professor

Kyungpook National University

SOUTH KOREA

Mattheos Santamouris

University of New South Wales

AUSTRALIA

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