Publications

Zo, C. H., Nzarigema, J. D. A., Ngarambe, J., Raj, S., Muhammad, S., Yoo, G., & Yun, G. Y. (2025). Integrating deep learning into quantile regression models for enhanced building energy benchmarking. Journal of Building Engineering, 109, 113044.
Murtaza, S., Raj, S., Yun, G. Y., Park, D. J., Kim, J. H., Park, G., & Moon, J. W. (2025). Adaptive neural temporal hybridization for missing data imputation in building energy use datasets: An integrated LNN-LSTM weighted model. Journal of Building Engineering, 102, 113774. https://doi.org/10.1016/j.jobe.2025.113774
Accurate and complete building energy consumption data is essential for optimizing energy efficiency, forecasting demand, and …
Jalbuena, R., Yee, J. J., Yun, G. Y., & Raj, S. (2025). Addressing landcover bias in spatial downscaling of MODIS land surface temperature using generative adversarial network-based regression model (RGAN). Advances in Space Research, 76(6), 3445-3464.
Bae, K. W., Choi, E. J., Choi, Y. J., Yun, J. Y., Yun, G. Y., Moon, H. J., & Moon, J. W. (2025). Real-time ventilation control for indoor CO2 management using occupant information. Building and Environment, 262, 113568. https://doi.org/10.1016/j.buildenv.2025.113568
In contemporary Conventional ventilation control methods primarily rely on environmental measurements taken indoors but often overlook …
Adilkhanova, I., Jeong, J. H., Yun, G. Y., Lee, K. S., Kim, H. A., Kim, S. J., & Lee, S. H. (2025). Development of Reference Energy Models for Office Buildings in Korea. Journal of the Korean Institute of Architectural Sustainable Environment and Building Systems, 19(3).