발행물

전체 논문

78

1

Irakoze, A. An Assessment of Ceiling Depth Effects on Skylight Daylighting and Energy Performance
Irakoze, A.
2021

2

Choi, H.S. An Evaluation of Energy performance of Apartment Houses in Ulsan by Applying District Gas Utilities to Regression Models
Choi, H.S.
2021

3

Seok, S.I. A Study to Develop a New Energy Performance Evaluation Method of Existing Buildings using k-means cluster Analysis : Selection of Target Buildings for Green Remodeling
Seok, S.I.
2024

4

Jeong, S.H. A study on the Cooling Energy Reduction through the use of Adaptive Setpoint Temperatures in Building
Jeong, S.H.
2025

5

Irakoze, A. and K. Kim*. Applying machine learning algorithms to classify energy performance of existing buildings by different granularity level of energy data.
Irakoze, A., K. Kim*
Inernational Journal of Green Energy, 2025

6

Irakoze, A., Kim, J. and K. Kim*. Development of a real time setpoint temperature control method based on artificial neural network(ANN) and adaptive thermal comfort.
Irakoze, A., Kim, J., K. Kim*
Energy and Buildings, 2025

7

Irakoze, A., Choi, H. and K. Kim*. Doing more with less: Applying low-frequency energy data to define thermal performance of house units and energy-saving opportunities.
Irakoze, A., Choi, H., K. Kim*
Energies, 2024

8

Irakoze, A., Lee, K. and K, Kim.*, Holistic approach towards a sustainable urban renewal:thermal comfort perspective of urban housing in Kigali, Rwanda.
Irakoze, A., Lee, K., K, Kim.*
Buildings, 2023

9

Kim, K., Chae, C-U. and D. Cho.*. Development of an assessment method for energy performance of residential buildings using G-SEED in South Korea.
Kim, K., Chae, C-U., D. Cho.*
Journal of Asian Architecture and Building Engineering, 1970

10

Lee,C., Jung,D.,Lee,D.,Kim,K., and S. Do*. Prediction performance analysis of artificial neural network model by input variable combination for residential heating loads.
Lee,C., Jung,D., Lee,D., Kim,K., S. Do*
Energies, 2021