Jin Woo Moon 
- : Optimizing active chilled beam systems in the South Korean Climate: Comparative analysis of cooling energy and thermal comfort by set-point temperature. In: Energy and Buildings.
- (2025): Development and performance evaluation of an indoor thermal environment control algorithm incorporating MET estimation model with object detection. In: Building and Environment, v. 267 (January 2025).
- (2024): Performance analysis of particulate matter priority control algorithm for outdoor Air-Introduced ventilation Cleaner using prediction model. In: Energy and Buildings, v. 324 (December 2024).
- (2024): A new integrated framework to fault detection and diagnosis of air handling unit: Emphasizing the impact of symptoms. In: Energy and Buildings, v. 319 (September 2024).
- (2024): Performance evaluation of an occupant metabolic rate estimation algorithm using activity classification and object detection models. In: Building and Environment, v. 252 (March 2024).
- (2024): Development and performance evaluation of intelligent algorithm for optimal control of a hybrid heat pump system during the cooling season. In: Energy and Buildings, v. 306 (March 2024).
- (2024): Impact of thermal control by real-time PMV using estimated occupants personal factors of metabolic rate and clothing insulation. In: Energy and Buildings, v. 307 (March 2024).
- (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 (December 2023).
- (2023): Seasonal effects of thermal comfort control considering real-time clothing insulation with vision-based model. In: Building and Environment, v. 235 (May 2023).
- (2023): Climate-zone-dependent applicability of semi-transparent cadmium-telluride-type solar cells as a building material with display characteristics. In: Energy and Buildings, v. 287 (May 2023).
- (2022): Effects of thermal comfort-driven control based on real-time clothing insulation estimated using an image-processing model. In: Building and Environment, v. 223 (September 2022).
- (2022): Adaptive control algorithm with a retraining technique to predict the optimal amount of chilled water in a data center cooling system. In: Journal of Building Engineering, v. 50 (June 2022).
- (2022): Development of an adaptive artificial neural network model and optimal control algorithm for a data center cyber–physical system. In: Building and Environment, v. 210 (February 2022).
- (2021): Comparative analysis of the optimized ANN, SVM, and tree ensemble models using Bayesian optimization for predicting GSHP COP. In: Journal of Building Engineering, v. 44 (December 2021).
- (2022): Becoming a building suitable for participation in peer-to-peer energy trading. In: Sustainable Cities and Society, v. 76 (January 2022).
- (2014): Determining optimum control of double skin envelope for indoor thermal environment based on artificial neural network. In: Energy and Buildings, v. 69 (February 2014).
- (2014): Preliminary performance tests on artificial neural network models for opening strategies of double skin envelopes in winter. In: Energy and Buildings, v. 75 (June 2014).
- (2014): Application of control logic for optimum indoor thermal environment in buildings with double skin envelope systems. In: Energy and Buildings, v. 85 (December 2014).
- (2016): Development of annual daylight simulation algorithms for prediction of indoor daylight illuminance. In: Energy and Buildings, v. 118 (April 2016).
- (2016): Algorithm for optimal application of the setback moment in the heating season using an artificial neural network model. In: Energy and Buildings, v. 127 (September 2016).
- (2020): Improving sustainability of ever-changing building spaces affected by users’ fickle taste: A focus on human comfort and energy use. In: Energy and Buildings, v. 208 (February 2020).
- (2020): Operation guidelines for daylight dimming control systems in an office with lightshelf configurations. In: Building and Environment, v. 180 (August 2020).
- (2018): Development of control algorithms for optimal thermal environment of double skin envelope buildings in summer. In: Building and Environment, v. 144 (October 2018).
- (2017): Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system. In: Building and Environment, v. 125 (November 2017).
- (2014): Performance evaluation of artificial neural network-based variable control logic for double skin enveloped buildings during the heating season. In: Building and Environment, v. 82 (December 2014).
- (2013): Development of an artificial neural network model based thermal control logic for double skin envelopes in winter. In: Building and Environment, v. 61 (March 2013).
- (2012): Performance of ANN-based predictive and adaptive thermal-control methods for disturbances in and around residential buildings. In: Building and Environment, v. 48 (February 2012).
- (2010): ANN-based thermal control models for residential buildings. In: Building and Environment, v. 45, n. 7 (July 2010).
- (2012): A Study on the Evaluation Method for the Degree of Integration towards Office Towers in Different Climate Zones. In: Architectural Research, v. 14, n. 4 (December 2012).
- (2012): A Comparative Study Between Thermostat/Hygrometer-Based Conventional and Artificial Neural Network-Based Predictive/Adaptive Thermal Controls in Residential Buildings. In: Journal of Asian Architecture and Building Engineering, v. 11, n. 1 (May 2012).
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