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SCIE Journals

SCIE Journals

SCIE Journals
number Journals

1

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. Energies, 2024(17), 4186-4201.

2

Irakoze, A., Lee, K. and K, Kim.*, Holistic approach towards a sustainable urban renewal:thermal comfort perspective of urban housing in Kigali, Rwanda. Buildings, 2023(13), 146-162.

3 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. Journal of Asian Architecture and Building Engineering, 21(1), 133-144.
4 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. Energies, 2021(14), 756-774.
5 Yu, J., Kim, A., Bae, S., Cho, D. and K. Kim*. HVAC operation schemes and commissioning process resolving stack effect problem and adjusting according to changes in the environment: a case study in high-rise building in South Korea. Energies, 2021(14), 2299-2327.
6 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. Energies, 2021(14), 756-774.
7 Jung, D., Lee, C., Kim, K., and S. Do*. Development of a predictive model for a photovoltaic module’s surface temperature. Energies, 2020(13), 4005-4024.

8

Oh, S., Kim, C., Heo, J., Do, S. and K. Kim*. Heating performance analysis for short-term energy monitoring and prediction using multi-family residential energy consumption data. Energies, 2020(13), 3189-3212.
9 Oh, S. and K. Kim*. Change-point modeling analysis for multi-residential buildings: A case study in South Korea. Energy and Buildings, 2020(214), 109901.

10

Irakoze, A., Lee, Y. and K. Kim*. An evaluation of the ceiling depth’s impact on skylight energy performance predictions through a building simulation. Sustainability, 2020(12), 3117-3131.
11 Kim, K., Jeon, S., Irakoze, A. and K. Son*. A study of the green building benefits in apartment buildings according to real estate prices: case of non-capital areas in South Korea. Sustainability, 2020(12), 2206-2216.

12

Rodriguez, J., Heo, J.* and K. Kim. The impact of hydraulic fracturing on groundwater quality in the Permian Basin, West Texas, USA. Water, 2020(12), 796-811.

13

Jeong, W. and K. Kim*. A performance evaluation of the BIM-based object-oriented physical modeling technique for building thermal simulation: A comparative case study. Sustainability, 2016(8), 648-674.

14

Kim, K., J. Oh and W. Jeong*. Study on solar radiation models in South Korea for improving office building energy performance analysis. Sustainability, 2016(8), 589-602.

15

Kim, K.* and J.Haberl. Application of a home energy audit methodology for determining energy and cost efficient measures using an easy-to-use simulation: Test results from single-family houses in Texas, USA. Building Simulation, 2016(9), 617-628.

16

Park, D., K. Yu, Y. Yoon, K. Kim and S. Kim*. Analysis of Building Energy Efficiency System in Korea. Sustainability, 2015(7), 16086-16107.

17

Park, J.S.*, Lee, K. Kim, K. Kwon and J. Jeong. Estimating thermal performance and energy saving potential of residential buildings using utility bills. Energy and Buildings, 2015 (110), 23-30.

18

Kim, K.* and J. Haberl. Development of a home energy audit methodology for determining energy-efficient, cost-effective measures in existing single-family residences using an easy-to-use simulation. Building Simulation, 2015(8), 515-528.

19

Yu, K., S, Yoon, H., Jung, K. Kim and K. Song*. Influence of lighting loads upon thermal comfort under CBAD and UFAD systems. Energies, 2015(8), 6079-6097.

20

Kim, K.* and J. Haberl. Development of methodology for calibrated simulation in single-family residential buildings using three-parameter change-point regression model. Energy and Buildings, 2015(99), 140-152.

21

Yoo, J. and K. Kim*. Development of methodology for estimating electricity use in residential sectors using national statistics survey data from South Korea. Energy and Buildings, 2014(75), 402-409.