Sicheng Zhan
Sicheng Zhan
Потвърден имейл адрес: u.nus.edu
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
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
Building occupancy and energy consumption: Case studies across building types
S Zhan, A Chong
Energy and Built Environment 2 (2), 167-174, 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
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
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
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
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
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
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
A three-tier architecture visual-programming platform for building-lifecycle data management
MM Abdelrahman, S Zhan, A Chong
SimAUD, 2020
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
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
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
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
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
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
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
A virtual testbed for robust and reproducible calibration of building energy simulation models
S Zhan, A Chakrabarty, CR Laughman, A Chong
In: Proceedings of the 18th International IBPSA Building Simulation …, 2023
System and Method for Calibrating Digital Twins using Probabilistic Meta-Learning and Multi-Source Data
A Chakrabarty, S Zhan, C Laughman, G Wichern
US Patent App. 17/643,624, 2023
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