| BIM interface for full vs. semi-automated building energy simulation KU Ahn, YJ Kim, CS Park, I Kim, K Lee Energy and Buildings 68, 671-678, 2014 | 191 | 2014 |
| Predictability of occupant presence and performance gap in building energy simulation KU Ahn, DW Kim, CS Park, P De Wilde Applied energy 208, 1639-1652, 2017 | 105 | 2017 |
| Correlation between occupants and energy consumption KU Ahn, CS Park Energy and Buildings 116, 420-433, 2016 | 82 | 2016 |
| Application of deep Q-networks for model-free optimal control balancing between different HVAC systems KU Ahn, CS Park Science and Technology for the Built Environment 26 (1), 61-74, 2020 | 79 | 2020 |
| Decision making of HVAC system using Bayesian Markov chain Monte Carlo method YJ Kim, KU Ahn, CS Park Energy and Buildings 72, 112-121, 2014 | 74 | 2014 |
| Assessment of Passive vs. Active Strategies for a School Building Design JE Kang, KU Ahn, CS Park, T Schuetze Sustainability 7 (11), 15136-15151, 2015 | 33 | 2015 |
| Machine learning vs. hybrid machine learning model for optimal operation of a chiller SH Park, KU Ahn, S Hwang, S Choi, CS Park Science and Technology for the Built Environment 25 (2), 209-220, 2019 | 27 | 2019 |
| Issues of application of machine learning models for virtual and real-life buildings YM Kim, KU Ahn, CS Park Sustainability 8 (6), 543, 2016 | 27 | 2016 |
| Gaussian emulator for stochastic optimal design of a double glazing system YJ Kim | 24 | 2013 |
| Different occupant modeling approaches for building energy prediction KU Ahn, CS Park Energy Procedia 88, 721-724, 2016 | 21 | 2016 |
| Issues to be solved for energy simulation of an existing office building KU Ahn, DW Kim, YJ Kim, SH Yoon, CS Park Sustainability 8 (4), 345, 2016 | 21 | 2016 |
| Energy analysis of 4625 office buildings in South Korea KU Ahn, HS Shin, CS Park Energies 12 (6), 1114, 2019 | 13 | 2019 |
| 설계단계에서 동적 건물 에너지 성능분석의 쟁점들 안기언， 김영진， 박철수 대한건축학회 논문집-계획계 28 (12), 361-369, 2012 | 13 | 2012 |
| Temporal and spatial variation in the predictability of building occupancy KU Ahn, CS Park Building and Environment 149, 477-489, 2019 | 12 | 2019 |
| Gaussian Process model for control of an existing building KU Ahn, DW Kim, YJ Kim, CS Park, IH Kim Energy Procedia 78, 2136-2141, 2015 | 12 | 2015 |
| Issues on dynamic building energy performance assessment in design process KU Ahn, YJ Kim, CS Park Journal of the Architectural Institute of Korea Planning & Design 28 (12 …, 2012 | 11 | 2012 |
| Local vs. integrated control of a variable refrigerant flow system using artificial neural networks K Ahn, KJ Kim, K Song, CS Park Science and Technology for the Built Environment 26 (8), 1117-1131, 2020 | 10 | 2020 |
| Optimal control strategies of eight parallel heat pumps using Gaussian process emulator KU Ahn, SH Park, S Hwang, S Choi, CS Park Journal of Building Performance Simulation 12 (5), 650-662, 2019 | 9 | 2019 |
| Difficulties and issues in simulation of a high rise office building KU Ahn | 9 | 2013 |
| A case study on passive vs. active strategies for an energy-efficient school building design JE Kang, KU Ahn, CS Park, T Schuetze Proceedings of the. Int. 8 th Conference Forum Urban. https://doi. org/10 …, 2015 | 8 | 2015 |
