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 |
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 |
Building occupancy and energy consumption: Case studies across building types S Zhan, A Chong Energy and Built Environment 2 (2), 167-174, 2021 | 90 | 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 |
Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature MM Abdelrahman, S Zhan, C Miller, A Chong Energy and Buildings 242, 110885, 2021 | 64 | 2021 |
Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach Y Jin, D Yan, X Kang, A Chong, S Zhan Energy and Buildings 252, 111362, 2021 | 41 | 2021 |
Improving energy flexibility and PV self-consumption for a tropical net zero energy office building S Zhan, B Dong, A Chong Energy and Buildings 278, 112606, 2023 | 39 | 2023 |
Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization S Zhan, G Wichern, C Laughman, A Chong, A Chakrabarty Energy and Buildings 270, 112278, 2022 | 39 | 2022 |
ROBOD, room-level occupancy and building operation dataset ZD Tekler, E Ono, Y Peng, S Zhan, B Lasternas, A Chong Building Simulation 15 (12), 2127-2137, 2022 | 34 | 2022 |
Automated recognition and mapping of building management system (BMS) data points for building energy modeling (BEM) S Zhan, A Chong, B Lasternas Building Simulation 14, 43-52, 2021 | 27 | 2021 |
Energy flexibility quantification of a tropical net-zero office building using physically consistent neural network-based model predictive control W Liang, H Li, S Zhan, A Chong, T Hong Advances in Applied Energy 14, 100167, 2024 | 16 | 2024 |
Impact of occupant related data on identification and model predictive control for buildings S Zhan, Y Lei, Y Jin, D Yan, A Chong Applied Energy 323, 119580, 2022 | 16 | 2022 |
Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context Y Lei, ZD Tekler, S Zhan, C Miller, A Chong Building and Environment 248, 111043, 2024 | 12 | 2024 |
A three-tier architecture visual-programming platform for building-lifecycle data management MM Abdelrahman, S Zhan, A Chong Proceedings of the SimAUD, Online, 25-27, 2020 | 10 | 2020 |
Comparing model predictive control and reinforcement learning for the optimal operation of building-PV-battery systems S Zhan, Y Lei, A Chong E3S Web of Conferences 396, 04018, 2023 | 4 | 2023 |
From model-centric to data-centric: a practical MPC implementation framework for buildings S Zhan, M Quintana, C Miller, A Chong Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022 | 4 | 2022 |
A virtual testbed for robust and reproducible calibration of building energy simulation models S Zhan, A Chakrabarty, C Laughman, A Chong Building Simulation 2023 18, 3491-3498, 2023 | 3 | 2023 |
Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks A Chakrabarty, L Vanfretti, WT Tang, JA Paulson, S Zhan, SA Bortoff, ... 2024 IEEE Conference on Control Technology and Applications (CCTA), 547-554, 2024 | 2* | 2024 |
Meta-learned bayesian optimization for calibrating building simulation models with multi-source data S Zhan, G Wichern, C Laughman, A Chakrabarty NeurIPS 2021 Workshop on Tackling Climate Change with Machine Learning, 2021 | 2 | 2021 |
A Robust Unsupervised Framework for High-Resolution Building Energy Consumption Profiling S Zhan, A Chong Proceedings of Building Simulation 2019: 16th Conference of IBPSA, 4274-4281, 2019 | 2 | 2019 |