Minhyun Lee 
- (2024): Visual fatigue prediction using classification model based on physiological responses of occupants under office lightings. In: Journal of Building Engineering, v. 98 (December 2024).
- (2025): Household attitudes and characteristics towards photovoltaic adoption in Hong Kong: Identifying the determinants for sustainable energy transition. In: Energy and Buildings, v. 330 (March 2025).
- (2025): Predicting occupant energy consumption in different indoor layout configurations using a hybrid agent-based modeling and machine learning approach. In: Energy and Buildings, v. 328 (February 2025).
- (2024): A generalized thermal comfort model using thermographic images and compact convolutional transformers: Towards scalable and adaptive occupant comfort optimization. In: Building and Environment, v. 266 (December 2024).
- (2024): Human-centered intelligent construction for sustainable cities. In: Automation in Construction, v. 168 (December 2024).
- (2024): Non-invasive vision-based personal comfort model using thermographic images and deep learning. In: Automation in Construction, v. 168 (December 2024).
- (2024): Impact of Heat Stress on Individual Cognitive States: Utilizing EEG Metrics in Immersive VR–Based Construction Safety Training. In: Journal of Management in Engineering (ASCE), v. 40, n. 6 (November 2024).
- (2024): Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach. In: Journal of Building Engineering, v. 94 (October 2024).
- (2024): Thermophysiological responses and thermal comfort of occupants in indoor spaces under different speaking and non-speaking conditions. In: Building and Environment, v. 260 (July 2024).
- (2024): Energy consumption prediction and household feature analysis for different residential building types using machine learning and SHAP: Toward energy-efficient buildings. In: Energy and Buildings, v. 309 (April 2024).
- (2023): The impact of socio-demographic factors on occupants’ thermal comfort and sensation: An integrated approach using statistical analysis and agent-based modeling. In: Building and Environment, v. 246 (December 2023).
- (2023): The impact of personal environmental control on the performance of thermal systems: Building energy consumption, occupant thermal comfort, and productivity. In: Energy and Buildings, v. 298 (November 2023).
- (2023): Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models. In: Energy and Buildings, v. 300 (December 2023).
- (2023): Thermal comfort prediction based on automated extraction of skin temperature of face component on thermal image. In: Energy and Buildings, v. 298 (November 2023).
- (2016): Establishing environmental benchmarks to determine the environmental performance of elementary school buildings using LCA. In: Energy and Buildings, v. 127 (September 2016).
- (2017): Development of the hybrid model for estimating the undisturbed ground temperature using the finite element method and geostatistical technique. In: Energy and Buildings, v. 152 (October 2017).
- (2020): A new approach for developing a hybrid sun-tracking method of the intelligent photovoltaic blinds considering the weather condition using data mining technique. In: Energy and Buildings, v. 209 (February 2020).
- (2020): An optimal scheduling model of an energy storage system with a photovoltaic system in residential buildings considering the economic and environmental aspects. In: Energy and Buildings, v. 209 (February 2020).
- (2019): Techno-economic performance analysis of the smart solar photovoltaic blinds considering the photovoltaic panel type and the solar tracking method. In: Energy and Buildings, v. 193 (June 2019).
- (2019): Technical performance analysis of the smart solar photovoltaic blinds based on the solar tracking methods considering the climate factors. In: Energy and Buildings, v. 190 (May 2019).
- (2020): Determining the optimal window size of office buildings considering the workers' task performance and the building's energy consumption. In: Building and Environment, v. 177 (June 2020).
- (2020): Embodied and Operational CO2 Emissions of the Elementary School Buildings in Different Climate Zones. In: KSCE Journal of Civil Engineering, v. 24, n. 4 (March 2020).
- (2019): Occupant responses on satisfaction with window size in physical and virtual built environments. In: Building and Environment, v. 166 (December 2019).
- (2019): Analyzing the real-time indoor environmental quality factors considering the influence of the building occupants’ behaviors and the ventilation. In: Building and Environment, v. 156 (June 2019).
- (2019): Development of a prototype for multi-function smart window by integrating photovoltaic blinds and ventilation system. In: Building and Environment, v. 149 (February 2019).
- (2018): Physiological response of building occupants based on their activity and the indoor environmental quality condition changes. In: Building and Environment, v. 145 (November 2018).
- (2018): Determining the optimal occupancy density for reducing the energy consumption of public office buildings: A statistical approach. In: Building and Environment, v. 127 (January 2018).
- (2016): Development of an evaluation process for green and non-green buildings focused on energy performance of G-SEED and LEED. In: Building and Environment, v. 105 (August 2016).
- (2017): Mapping the Rescue Equipment Mobilization Potential: Decision Support Tool for Emergency Management. In: Journal of Management in Engineering (ASCE), v. 33, n. 6 (November 2017).
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