| Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning Z Zhang, A Chong, Y Pan, C Zhang, KP Lam Energy and Buildings 199, 472-490, 2019 | 313 | 2019 |
| Green and cool roofs’ urban heat island mitigation potential in tropical climate J Yang, A Pyrgou, A Chong, M Santamouris, D Kolokotsa, SE Lee Solar Energy 173, 597-609, 2018 | 203 | 2018 |
| Generative adversarial network for fault detection diagnosis of chillers K Yan, A Chong, Y Mo Building and Environment 172, 106698, 2020 | 189 | 2020 |
| Calibrating building energy simulation models: A review of the basics to guide future work A Chong, Y Gu, H Jia Energy and Buildings 253, 111533, 2021 | 179 | 2021 |
| Guidelines for the Bayesian calibration of building energy models A Chong, K Menberg Energy and Buildings 174, 527-547, 2018 | 148 | 2018 |
| Bayesian calibration of building energy models with large datasets A Chong, KP Lam, M Pozzi, J Yang Energy and Buildings 154, 343-355, 2017 | 141 | 2017 |
| A deep reinforcement learning approach to using whole building energy model for hvac optimal control Z Zhang, A Chong, Y Pan, C Zhang, S Lu, KP Lam 2018 Building Performance Analysis Conference and SimBuild 3, 22-23, 2018 | 136 | 2018 |
| Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective S Zhan, A Chong Renewable and Sustainable Energy Reviews 142, 110835, 2021 | 128 | 2021 |
| Data-driven predictive control for smart HVAC system in IoT-integrated buildings with time-series forecasting and reinforcement learning D Zhuang, VJL Gan, ZD Tekler, A Chong, S Tian, X Shi Applied Energy 338, 120936, 2023 | 122 | 2023 |
| Building categorization revisited: A clustering-based approach to using smart meter data for building energy benchmarking S Zhan, Z Liu, A Chong, D Yan Applied energy 269, 114920, 2020 | 103 | 2020 |
| Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy ZD Tekler, A Chong Building and Environment 226, 109689, 2022 | 94 | 2022 |
| Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec MM Abdelrahman, A Chong, C Miller Building and Environment 207, 108532, 2022 | 91 | 2022 |
| Building occupancy and energy consumption: Case studies across building types S Zhan, A Chong Energy and Built Environment 2 (2), 167-174, 2021 | 89 | 2021 |
| Building occupancy forecasting: A systematical and critical review Y Jin, D Yan, A Chong, B Dong, J An Energy and Buildings 251, 111345, 2021 | 85 | 2021 |
| Performance evaluation of misting fans in hot and humid climate NH Wong, AZM Chong Building and Environment 45 (12), 2666-2678, 2010 | 83 | 2010 |
| Hybrid system controls of natural ventilation and HVAC in mixed-mode buildings: A comprehensive review Y Peng, Y Lei, ZD Tekler, N Antanuri, SK Lau, A Chong Energy and Buildings 276, 112509, 2022 | 81 | 2022 |
| Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review B Dong, Y Liu, H Fontenot, M Ouf, M Osman, A Chong, S Qin, F Salim, ... Applied Energy 293, 116856, 2021 | 81 | 2021 |
| A practical deep reinforcement learning framework for multivariate occupant-centric control in buildings Y Lei, S Zhan, E Ono, Y Peng, Z Zhang, T Hasama, A Chong Applied Energy 324, 119742, 2022 | 78 | 2022 |
| Improving evolutionary algorithm performance for integer type multi-objective building system design optimization W Xu, A Chong, OT Karaguzel, KP Lam Energy and Buildings 127, 714-729, 2016 | 76 | 2016 |
| Infrared thermography in the built environment: A multi-scale review M Martin, A Chong, F Biljecki, C Miller Renewable and sustainable energy reviews 165, 112540, 2022 | 74 | 2022 |
Sicheng ZhanPostdoc, MITВерификована је имејл адреса на u.nus.edu