Sungmin Yoon 
- : Metadata schema for virtual building models in digital twins: VB schema implemented in GPT-based applications. In: Energy and Buildings.
- (2024): Virtual in-situ modeling between digital twin and BIM for advanced building operations and maintenance. In: Automation in Construction, v. 168 (December 2024).
- (2024): Ontology-assisted GPT-based building performance simulation and assessment: Implementation of multizone airflow simulation. In: Energy and Buildings, v. 325 (December 2024).
- (2024): A novel method for evaluating stack pressure in real high-rise buildings: Optimization of measurement points. In: Building and Environment, v. 259 (July 2024).
- (2024): Neural network-based nonintrusive calibration for an unobserved model in digital twin-enabled building operations. In: Automation in Construction, v. 159 (March 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): Research on designated calibration method of fault sensor in photovoltaic thermal heat pump system based on fault detection and virtual calibration. In: Journal of Building Engineering, v. 76 (October 2023).
- (2023): Realization of rule-based automated design for HVAC duct layout. In: Journal of Building Engineering, v. 80 (December 2023).
- (2024): Sensor fault diagnosis and correction for data center cooling system using hybrid multi-label random Forest and Bayesian Inference. In: Building and Environment, v. 249 (February 2024).
- (2023): Virtual PMV sensor towards smart thermostats: Comparison of modeling approaches using intrusive data. In: Energy and Buildings, v. 301 (December 2023).
- (2023): Strategies for sensor virtual in-situ calibration in building energy system: Sensor evaluation and data-driven based methods. In: Energy and Buildings, v. 294 (September 2023).
- (2023): Surrogate-assisted high-accuracy observation modeling in building digital twins: In situ nonintrusive modeling without sensor observation (Y). In: Building and Environment, v. 242 (August 2023).
- (2022): Virtual sensing in intelligent buildings and digitalization. In: Automation in Construction, v. 143 (November 2022).
- (2022): In-situ sensor correction method for data center cooling systems using Bayesian Inference coupling with autoencoder. In: Sustainable Cities and Society, v. 76 (January 2022).
- (2021): A novel fault diagnosis and self-calibration method for air-handling units using Bayesian Inference and virtual sensing. In: Energy and Buildings, v. 250 (November 2021).
- (2021): TDC-based horizontal leakage area estimation in multiunit residential buildings: Three correction factors. In: Building and Environment, v. 192 (April 2021).
- (2021): The virtual in-situ calibration of various physical sensors in air handling units. In: Science and Technology for the Built Environment, v. 27, n. 6 (May 2021).
- (2018): Strategies for virtual in-situ sensor calibration in building energy systems. In: Energy and Buildings, v. 172 (August 2018).
- (2020): Weather-driven infiltration and interzonal airflow in a multifamily high-rise building: Dwelling infiltration distribution. In: Building and Environment, v. 181 (August 2020).
- (2020): Virtual sensor-assisted in situ sensor calibration in operational HVAC systems. In: Building and Environment, v. 181 (August 2020).
- (2020): Interaction analysis of countermeasures for the stack effect in a high-rise office building. In: Building and Environment, v. 168 (January 2020).
- (2019): Stack-driven infiltration and heating load differences by floor in high-rise residential buildings. In: Building and Environment, v. 157 (June 2019).
- (2019): Reliability and availability analysis of a hybrid cooling system with water-side economizer in data center. In: Building and Environment, v. 148 (January 2019).
- (2017): A quantitative comparison of statistical and deterministic methods on virtual in-situ calibration in building systems. In: Building and Environment, v. 115 (April 2017).
- (2009): Laboratory investigation on the strength characteristics of cement-sand as base material. In: KSCE Journal of Civil Engineering, v. 13, n. 1 (January 2009).
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