[25] Cho, J., Song, K., Park, M., Ahn, C., and Kim, T.W. (2024) “Investigation of source ambiguity of floor noises in wall-slab buildings from the perspective of junction attenuations: A real case field study.” Indoor and Built Environment, Sage Journals. (Under Review)

[24] Cho, J., Song, K., Park, M., Ahn, C., and Kim, T.W. (2024) “Effects of Periodic Materials on Distance Attenuation in Wall-slab Structures: An Experiment .” Buildings, MDPI, Vol. 14.

[23] Song, K., Lee, S., Raimi, K., and Hart, S. (2024) “Socio-cognitive mechanisms of residents’ identification with personalized normative comparison groups.” Environment and Behavior, Sage Journals. (Under Review) 

[22] Kim, J., Song, K., Lee, G., and Lee, S. (2024) “Time-series data clustering with load-shape preservation for identifying residential energy consumption behaviors.” Energy and Buildings, Elsevier. 

[21] Song, K., Ahn, J., and Cho, J. (2023) “3D Human Skeleton Clustering for Decomposition of Trainees’ Safety Actions during Personalized Augmented Reality-Based Personal Protective Equipment Training.” Automation in Construction, Elsevier. (Under Review)

[20] Olatoye, O., Jang, Y, and Song, K. (2023) “Social and Psychological Impact of the Covid-19 Pandemic on the Construction Project.” Buildings, MDPI, Vol. 13, 1902. 

[19] Heo, J., Song, K., Han, S., and Lee, D. (2021) “Multi-Channel Convolutional Neural Network for Integration of Meteorological and Geographical Features in Solar Power Forecasting.” Applied Energy, Elsevier, Vol. 295, 117083. 

[18] Cho, J., Lee. H., Park M., Song, K., Kim, J. and Kwon, N. (2021) “Estimating the Performance of Heavy Impact Sound Insulation Using Empirical Approaches.”, Journal of Asian Architecture and Building Engineering, Taylor and Francis. 

[17] Song, K., Jang, Y., Park, M., Lee. H., and Ahn, J. (2020) “Energy Efficiency of End-User Groups for Personalized HVAC Control in Multi-Zone Buildings.”, Energy, Elsevier, Vol. 206, 118116. 

[16] Song, K., Anderson. K., Lee. S., Raimi, K.T. and Hart, P.S. (2020) “Non-Invasive Behavioral Reference Group Categorization considering Temporal Granularity and Aggregation Level of Energy Use Data.” Energies, MDPI, Vol. 13, 3678.

[15] Jang, Y., Song, K., Park, M., and Ahn, Y. (2020) “Classifying the Business Model Types of International Construction Contractors.”, Journal of Construction Engineering and Management, ASCE, Vol. 146, 04020056.

[14] Song, K., Ahn, J., Ahn. Y., Park, M., and Kwon, N. (2020) “Reduction and Transformation of Energy Use Data for End-User Group Categorization in Dormitory Buildings.”, Journal of Building Engineering, Elsevier, Vol. 32, 101524.

[13] Kwon, N., Song, K., Ahn, Y., Park, M., and Jang, Y. (2020) “Maintenance Cost Prediction for Aging Residential Buildings based on Case-Based Reasoning and Genetic Algorithm.”, Journal of Building Engineering, Elsevier, Vol. 28, 101006.

[12] Song, K., Anderson, K., and Lee, S. (2020) “An Energy-Cyber-Physical System for Personalized Normative Messaging Interventions: Identification and Classification of Behavioral Reference Groups.”, Applied Energy, Elsevier, Vol. 260, 114237.

[11] Kwon, N., Song, K., Park, M., Jang, Y., Y, I. and Ahn Y. (2019) “Preliminary Service Life Estimation Model for MEP Components using Case-Based Reasoning and Genetic Algorithm.” Sustainability, MDPI, Vol. 11, 3074.

[10] Song, K., Ahn, Y., Ahn, J. and Kwon N. (2019) “Development of an Energy Saving Strategy Model for Retrofitting Existing Buildings: A Korean Case Study.” Energies, MDPI, Vol. 12, 1626.

[09] Kwon, N., Song, K., Lee, H. and Park, M. (2018) “Construction Noise Risk Assessment Model focusing on Construction Equipment.” Journal of Construction Engineering and Management, ASCE, Vol. 144, 04018034.

[08] Song, K., Kwon, N., Anderson, K., Park, M., Lee, H. and Lee, S. (2017) “Predicting Hourly Energy Consumption in Buildings using Occupancy-Related Characteristics of End-User Groups.” Energy and Buildings, Elsevier, Vol. 156, pp. 121-133.

[07] Song, K., Kim, S., Park, M. and Lee, H. (2017) “Energy Efficiency-Based Course Timetabling for University Buildings.” Energy, Elsevier, Vol. 139, pp. 394-405.

[06] Anderson, K., Song, K., Lee, S., Krupka, E., Lee, H. and Park, M. (2017) “Longitudinal Analysis of Normative Energy Use Feedback on Dormitory Occupants.” Applied Energy, Elsevier, Vol. 189, pp. 623-639.

[05] Ahn, J., Park, M., Lee, H., Ahn, S., Ji, S., Song, K. and Son, B. (2017) “Covariance Effect Analysis of Similarity Measurement Methods for Early Construction Cost Estimation using Case-Based Reasoning.” Automation in Construction, Elsevier, Vol. 81, pp. 254-266.

[04] Anderson, K., Song, K., Lee, S., Lee, H. and Park, M. (2015) “Energy Consumption in Households while Unoccupied: Evidence from Dormitories.” Energy and Buildings, Elsevier, Vol. 87, pp. 335-341.

[03] Jeon, J., Lee, H., Park, M., Kim, H. and Song, K. (2013) “Development of a Web GIS-Based Flood Management System for the Architectural Heritage.” Journal of the Architectural Institute of Korea, Architectural Institute of Korea, Vol. 31, pp. 45-53.

[02] Song, K., Park, M., Lee, H., Shin, J., Kim, S. and Jung, H. (2013) “Development of Energy Saving Strategy Model for Reducing Energy Consumption in Educational Facilities: Focusing on Facilities in Universities.” Journal of the Architectural Institute of Korea, Architectural Institute of Korea, Vol. 29, pp. 91- 100.

[01] Kim, S., Lee, H., Park, M., Jung, H. and Song, K. (2012) “A Study on the Scenarios of Greenhouse Gas Reduction on Seoul National University.” Journal of Korea Facility Management, Korea Facility Management Association, Vol. 7, pp. 15-23. 

[01] Song, K. and Kang, K. (2022) “Recognition of Occupants’ Cold Discomfort-Related Actions for Energy-Efficient and Comfortable Buildings.” 9th International Conference on Construction Engineering and Project Management 2022, Las Vegas, NV.