Jongyeon Lim 
- (2024): Reducing uncertainty of building shape information in urban building energy modeling using Bayesian calibration. In: Sustainable Cities and Society, v. 116 (December 2024).
- (2024): Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method. In: Building and Environment, v. 251 (March 2024).
- (2023): In situ virtual sensing for dwelling infiltration rates in multi-unit residential buildings. In: Journal of Building Engineering, v. 69 (June 2023).
- (2022): Multicollinearity issue for the parameterization of urban ventilation potential with urban morphology. In: Sustainable Cities and Society, v. 87 (December 2022).
- (2022): Bayesian prediction model of thermally satisfied occupants considering stochasticity due to inter- and intra-individual thermal sensation variations. In: Journal of Building Engineering, v. 52 (July 2022).
- (2022): Methodology of evaluating the sewage heat utilization potential by modelling the urban sewage state prediction model. In: Sustainable Cities and Society, v. 80 (May 2022).
- (2020): Fault detection and diagnosis for heat source system using convolutional neural network with imaged faulty behavior data. In: Science and Technology for the Built Environment, v. 26, n. 1 (2 January 2020).
- (2020): Optimal set-point regulation in HVAC system for controllability and energy efficiency. In: Advances in Building Energy Research, v. 14, n. 2 (April 2020).
- (2016): Effect of diurnal variation in wind velocity profiles on ventilation performance estimates. In: Energy and Buildings, v. 130 (October 2016).
- (2018): Hierarchical Bayesian modeling for predicting ordinal responses of personalized thermal sensation: Application to outdoor thermal sensation data. In: Building and Environment, v. 142 (September 2018).
- (2017): A probabilistic approach to the energy-saving potential of natural ventilation: Effect of approximation method for approaching wind velocity. In: Building and Environment, v. 122 (September 2017).
- (2017): Observational study of power-law approximation of wind profiles within an urban boundary layer for various wind conditions. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 164 (May 2017).
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