| Optimal design of a multi-story double skin facade J Joe, W Choi, Y Kwak, JH Huh Energy and buildings 76, 143-150, 2014 | 115 | 2014 |
| Optimization method for multiple heat source operation including ground source heat pump considering dynamic variation in ground temperature S Ikeda, W Choi, R Ooka Applied Energy 193, 466-478, 2017 | 107 | 2017 |
| Operation and control strategies for multi-storey double skin facades during the heating season W Choi, J Joe, Y Kwak, JH Huh Energy and buildings 49, 454-465, 2012 | 101 | 2012 |
| Effect of natural convection on thermal response test conducted in saturated porous formation: Comparison of gravel-backfilled and cement-grouted borehole heat exchangers W Choi, R Ooka Renewable Energy 96, 891-903, 2016 | 95 | 2016 |
| Load characteristics and operation strategies of building integrated with multi-story double skin facade J Joe, W Choi, H Kwon, JH Huh Energy and buildings 60, 185-198, 2013 | 90 | 2013 |
| Impact of long-term operation of ground-source heat pump on subsurface thermal state in urban areas W Choi, R Ooka, Y Nam Sustainable cities and society 38, 429-439, 2018 | 83 | 2018 |
| Model predictive control of building energy systems with thermal energy storage in response to occupancy variations and time-variant electricity prices D Lee, R Ooka, S Ikeda, W Choi, Y Kwak Energy and Buildings 225, 110291, 2020 | 81 | 2020 |
| Exergy analysis of a hybrid ground-source heat pump system K Menberg, Y Heo, W Choi, R Ooka, R Choudhary, M Shukuya Applied Energy 204, 31-46, 2017 | 80 | 2017 |
| Interpretation of disturbed data in thermal response tests using the infinite line source model and numerical parameter estimation method W Choi, R Ooka Applied Energy 148, 476-488, 2015 | 80 | 2015 |
| Bayesian inference for thermal response test parameter estimation and uncertainty assessment W Choi, H Kikumoto, R Choudhary, R Ooka Applied Energy 209, 306-321, 2018 | 77 | 2018 |
| Experimental analysis of artificial intelligence-based model predictive control for thermal energy storage under different cooling load conditions D Lee, R Ooka, Y Matsuda, S Ikeda, W Choi Sustainable Cities and Society 79, 103700, 2022 | 49 | 2022 |
| Effect of disturbance on thermal response test, part 2: Numerical study of applicability and limitation of infinite line source model for interpretation under disturbance from … W Choi, R Ooka Renewable Energy 85, 1090-1105, 2016 | 49 | 2016 |
| Exergy analysis for unsteady-state heat conduction W Choi, R Ooka, M Shukuya International Journal of Heat and Mass Transfer 116, 1124-1142, 2018 | 46 | 2018 |
| Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality W Choi, S Lee Energy and buildings 288, 113027, 2023 | 35 | 2023 |
| Experimental and numerical investigation of energy saving potential of centralized and decentralized pumping systems M Liu, R Ooka, W Choi, S Ikeda Applied Energy 251, 113359, 2019 | 34 | 2019 |
| Effect of disturbance on thermal response test, part 1: Development of disturbance analytical model, parametric study, and sensitivity analysis W Choi, R Ooka Renewable Energy 85, 306-318, 2016 | 34 | 2016 |
| Bayesian inference of structural error in inverse models of thermal response tests W Choi, K Menberg, H Kikumoto, Y Heo, R Choudhary, R Ooka Applied Energy 228, 1473-1485, 2018 | 27 | 2018 |
| Critical comparison between thermal performance test (TPT) and thermal response test (TRT): Differences in heat transfer process and extractable information W Choi, H Kikumoto, R Ooka Energy Conversion and Management 199, 111967, 2019 | 26 | 2019 |
| New perspectives in thermal performance test: Cost-effective apparatus and extended data analysis W Choi, H Kikumoto, R Ooka Energy and Buildings 180, 109-121, 2018 | 24 | 2018 |
| Artificial neural network prediction models of stratified thermal energy storage system and borehole heat exchanger for model predictive control D Lee, R Ooka, S Ikeda, W Choi Science and Technology for the Built Environment 25 (5), 534-548, 2019 | 23 | 2019 |
Ryozo OokaInstitute of Industrial Science, The University of TokyoVerified email at iis.u-tokyo.ac.jp
