Anseop Choi 
- (2023): Occupancy estimation using IoT sensors and machine learning: Incorporating ventilation system operating state and preprocessed differential pressure data. In: Building and Environment, v. 246 (Dezember 2023).
- (2022): A method to facilitate affordance perception and actualization for improving the usability of smart plugs. In: Building and Environment, v. 217 (Juni 2022).
- (2022): Cloud-based lighting control systems: Fatigue analysis and recommended luminous environments. In: Building and Environment, v. 214 (April 2022).
- (2022): Simulation-based analysis of luminous environment of OLED lighting-integrated blinds for PV–OLED blind systems. In: Building and Environment, v. 211 (März 2022).
- (2021): Photopic illuminance-based black-box model for regulation of human circadian rhythm via daylight control. In: Building and Environment, v. 203 (Oktober 2021).
- (2021): Recommendation of indoor luminous environment for occupants using big data analysis based on machine learning. In: Building and Environment, v. 198 (Juli 2021).
- (2016): Toward the accuracy of prediction for energy savings potential and system performance using the daylight responsive dimming system. In: Energy and Buildings, v. 133 (Dezember 2016).
- (2018): Impact of bi-directional PV blind control method on lighting, heating and cooling energy consumption in mock-up rooms. In: Energy and Buildings, v. 176 (Oktober 2018).
- (2020): Sterilization effectiveness of in-duct ultraviolet germicidal irradiation system in liquid desiccant and indirect/direct evaporative cooling-assisted 100% outdoor air system. In: Building and Environment, v. 186 (Dezember 2020).
- (2020): Platform design for lifelog-based smart lighting control. In: Building and Environment, v. 185 (November 2020).
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