Moon Keun Kim 
- (2024): A Numerical Investigation of the Influence of Diffuser Vane Height on Hydraulic Loss in the Volute for a Centrifugal Water Supply Pump. In: Buildings, v. 14, n. 8 (23 July 2024).
- : Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.. In: Sustainable Cities and Society.
- (2023): Phonon Transport Characteristics of Nano-Silicon Thin Films Irradiated by Ultrafast Laser under Dispersion Relation. In: Buildings, v. 14, n. 1 (31 December 2023).
- (2023): Hourly Heat Load Prediction for Residential Buildings Based on Multiple Combination Models: A Comparative Study. In: Buildings, v. 13, n. 9 (23 August 2023).
- (2023): Developing simplified numerical calculation and BP neural network modeling for the cooling capacity in a radiant floor cooling system. In: Journal of Asian Architecture and Building Engineering, v. 23, n. 2 (December 2023).
- (2023): Application potential analysis of different control strategies for radiant floor cooling systems in office buildings in different climate zones of China. In: Energy and Buildings, v. 282 (March 2023).
- (2023): A Numerical Study on the Exergy Performance of a Hybrid Radiant Cooling System in an Office Building: Comparative Case Study and Analysis. In: Buildings, v. 13, n. 2 (14 February 2023).
- (2022): Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis. In: Sustainable Cities and Society, v. 83 (August 2022).
- (2022): Developing a collaborative control strategy of a combined radiant floor cooling and ventilation system: A PMV-based model. In: Journal of Building Engineering, v. 54 (August 2022).
- (2022): Experimental and Numerical Study of an Active Solar Heating System with Soil Heat Storage for Greenhouses in Cold Climate Zones. In: Buildings, v. 12, n. 4 (11 April 2022).
- (2020): Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression. In: Sustainable Cities and Society, v. 62 (November 2020).
- (2020): Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models. In: Sustainable Cities and Society, v. 62 (November 2020).
- (2018): Predicting electricity consumption in a building using an optimized back-propagation and Levenberg–Marquardt back-propagation neural network: Case study of a shopping mall in China. In: Sustainable Cities and Society, v. 42 (October 2018).
- (2017): Traffic noise level predictions for buildings with windows opened for natural ventilation in urban environments. In: Science and Technology for the Built Environment, v. 23, n. 5 (June 2017).
- (2013): Evaluating and adapting low exergy systems with decentralized ventilation for tropical climates. In: Energy and Buildings, v. 67 (December 2013).
- (2014): Decentralized cooling and dehumidification with a 3 stage LowEx heat exchanger for free reheating. In: Energy and Buildings, v. 76 (June 2014).
- (2014): Energy and exergy analyses of advanced decentralized ventilation system compared with centralized cooling and air ventilation systems in the hot and humid climate. In: Energy and Buildings, v. 79 (August 2014).
- (2014): Advanced Airbox cooling and dehumidification system connected with a chilled ceiling panel in series adapted to hot and humid climates. In: Energy and Buildings, v. 85 (December 2014).
- (2014): Evaluation of the humidity performance of a novel radiant cooling system connected with an Airbox convector as a low exergy system adapted to hot and humid climates. In: Energy and Buildings, v. 84 (December 2014).
- (2015): A novel ventilation strategy with CO2 capture device and energy saving in buildings. In: Energy and Buildings, v. 87 (January 2015).
- (2016): Energy analysis of a decentralized ventilation system compared with centralized ventilation systems in European climates: Based on review of analyses. In: Energy and Buildings, v. 111 (January 2016).
- (2018): Energy analysis of a hybrid radiant cooling system under hot and humid climates: A case study at Shanghai in China. In: Building and Environment, v. 137 (June 2018).
- (2015): Performance of novel ventilation strategy for capturing CO 2 with scheduled occupancy diversity and infiltration rate. In: Building and Environment, v. 89 (July 2015).
- (2014): A case study on feasible performance of a system combining an airbox convector with a radiant panel for tropical climates. In: Building and Environment, v. 82 (December 2014).
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