- Comparing hyperparameter tuning methods in machine learning based urban building energy modeling: A study in Chicago. Dans: Energy and Buildings, v. 317 (août 2024). (2024):
- Examining behavioral aspect of urban context effect on residential building energy use in Seoul – linking urban walkability to energy. Dans: Building and Environment, v. 252 (mars 2024). (2024):
- A review of surrogate-assisted design optimization for improving urban wind environment. Dans: Building and Environment, v. 253 (avril 2024). (2024):
- Examining temporally varying nonlinear effects of urban form on urban heat island using explainable machine learning: A case of Seoul. Dans: Building and Environment, v. 247 (janvier 2024). (2024):
- Did New Electricity Progressive Tariff System Change Energy Usage Pattern in Seoul Apartments? Evidence from Integrated Multisource Dataset and Combined Analytical Models. Dans: Energy and Buildings, v. 287 (mai 2023). (2023):
- Relationships between building characteristics, urban form and building energy use in different local climate zone contexts: An empirical study in Seoul. Dans: Energy and Buildings, v. 272 (octobre 2022). (2022):
- Improving local pedestrian-level wind environment based on probabilistic assessment using Gaussian process regression. Dans: Building and Environment, v. 205 (novembre 2021). (2021):
- A robust metamodel-based optimization design method for improving pedestrian wind comfort in an infill development project. Dans: Sustainable Cities and Society, v. 72 (septembre 2021). (2021):
- A surrogate-assisted optimization framework for microclimate-sensitive urban design practice. Dans: Building and Environment, v. 195 (mai 2021). (2021):
- A systematic review of GIS-based local climate zone mapping studies. Dans: Building and Environment, v. 196 (juin 2021). (2021):