Geun Young Yun 
- : Exploring the role of strategic urban planning and greening in decreasing surface urban heat island intensity. In: Journal of Asian Architecture and Building Engineering.
- : Influence of selection of rural reference area for quantifying the surface urban heat islands intensity in major South Korean cities. In: Architectural Science Review.
- : Sequential attention deep learning architecture with unsupervised pre-training for interpretable and accurate building energy prediction with limited data. In: Journal of Asian Architecture and Building Engineering.
- (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. In: Energy and Buildings, v. 290 (July 2023).
- (2023): Coupling convolutional neural networks with gated recurrent units to model illuminance distribution from light pipe systems. In: Building and Environment, v. 237 (June 2023).
- (2023): Energy-efficient virtual sensor-based deep reinforcement learning control of indoor CO2 in a kindergarten. In: Frontiers of Architectural Research, v. 12, n. 2 (April 2023).
- (2022): A review on the current usage of machine learning tools for daylighting design and control. In: Building and Environment, v. 223 (September 2022).
- (2022): Geographically extended occupant clothing behavior model using convolutional neural networks with hyperband technique. In: Journal of Building Engineering, v. 49 (May 2022).
- (2021): Influences of wind speed, sky conditions, land use and land cover characteristics on the magnitude of the urban heat island in Seoul: An exploratory analysis. In: Sustainable Cities and Society, v. 71 (August 2021).
- (2020): Energy and Feasibility Analysis of Applying Bio-Based Phase Change Materials to Buildings in East Asia. In: Journal of Green Building, v. 15, n. 2 (March 2020).
- (2009): Thermal performance of a naturally ventilated building using a combined algorithm of probabilistic occupant behaviour and deterministic heat and mass balance models. In: Energy and Buildings, v. 41, n. 5 (May 2009).
- (2012): A field survey of visual comfort and lighting energy consumption in open plan offices. In: Energy and Buildings, v. 46 (March 2012).
- (2012): Effects of occupancy and lighting use patterns on lighting energy consumption. In: Energy and Buildings, v. 46 (March 2012).
- (2012): View types and luminance effects on discomfort glare assessment from windows. In: Energy and Buildings, v. 46 (March 2012).
- (2014): Energy performance of direct expansion air handling unit in office buildings. In: Energy and Buildings, v. 77 (July 2014).
- (2015): Development of the adaptive PMV model for improving prediction performances. In: Energy and Buildings, v. 98 (July 2015).
- (2016): The neural network predictive model for heat island intensity in Seoul. In: Energy and Buildings, v. 110 (January 2016).
- (2016): Development and application of the load responsive control of the evaporating temperature in a VRF system for cooling energy savings. In: Energy and Buildings, v. 116 (March 2016).
- (2017): Development of an automatic calibration method of a VRF energy model for the design of energy efficient buildings. In: Energy and Buildings, v. 135 (January 2017).
- (2018): Influences of perceived control on thermal comfort and energy use in buildings. In: Energy and Buildings, v. 158 (January 2018).
- (2020): The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls. In: Energy and Buildings, v. 211 (March 2020).
- (2019): Prediction of indoor clothing insulation levels: A deep learning approach. In: Energy and Buildings, v. 202 (November 2019).
- (2019): Energy retrofit analysis of cross-laminated timber residential buildings in Seoul, Korea: Insights from a case study of packages. In: Energy and Buildings, v. 202 (November 2019).
- (2016): Extending the applicability of the adaptive comfort model to the control of air-conditioning systems. In: Building and Environment, v. 105 (August 2016).
- (2008): Time-dependent occupant behaviour models of window control in summer. In: Building and Environment, v. 43, n. 9 (September 2008).
- (2009): Household energy consumption: a study of the role of occupants. In: Building Research & Information, v. 37, n. 5-6 ( 2009).
- (2008): Natural ventilation in practice: linking facade design, thermal performance, occupant perception and control. In: Building Research & Information, v. 36, n. 6 ( 2008).
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