| Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids R Tang, S Wang, H Li Applied Energy 250, 118-130, 2019 | 171 | 2019 |
| Model predictive control for thermal energy storage and thermal comfort optimization of building demand response in smart grids R Tang, S Wang Applied Energy 242, 873-882, 2019 | 152 | 2019 |
| Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load L Xu, S Wang, R Tang Applied Energy 237, 180-195, 2019 | 144 | 2019 |
| Development of grid-responsive buildings: Opportunities, challenges, capabilities and applications of HVAC systems in non-residential buildings in providing ancillary services … H Wang, S Wang, R Tang Applied Energy 250, 697-712, 2019 | 114 | 2019 |
| A direct load control strategy of centralized air-conditioning systems for building fast demand response to urgent requests of smart grids R Tang, S Wang, C Yan Automation in Construction 87, 74-83, 2018 | 91 | 2018 |
| Supply-based feedback control strategy of air-conditioning systems for direct load control of buildings responding to urgent requests of smart grids S Wang, R Tang Applied Energy 201, 419-432, 2017 | 91 | 2017 |
| Optimal control strategy of central air-conditioning systems of buildings at morning start period for enhanced energy efficiency and peak demand limiting R Tang, S Wang, K Shan, H Cheung Energy 151, 771-781, 2018 | 65 | 2018 |
| A game theory-based decentralized control strategy for power demand management of building cluster using thermal mass and energy storage R Tang, H Li, S Wang Applied Energy 242, 809-820, 2019 | 62 | 2019 |
| A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions C Fan, M Chen, R Tang, J Wang Building Simulation 15, 197-211, 2022 | 48 | 2022 |
| Impacts of technology-guided occupant behavior on air-conditioning system control and building energy use R Tang, S Wang, S Sun Building Simulation, 1-9, 2021 | 41 | 2021 |
| A power limiting control strategy based on adaptive utility function for fast demand response of buildings in smart grids R Tang, S Wang, DC Gao, K Shan Science and Technology for the Built Environment 22 (6), 810-819, 2016 | 41 | 2016 |
| Data-driven model predictive control for power demand management and fast demand response of commercial buildings using support vector regression R Tang, C Fan, F Zeng, W Feng Building simulation 15 (3), 317-331, 2022 | 37 | 2022 |
| Robust optimal design of zero/low energy buildings considering uncertainties and the impacts of objective functions H Li, S Wang, R Tang Applied Energy 254, 113683, 2019 | 29 | 2019 |
| Optimal and near-optimal indoor temperature and humidity controls for direct load control and proactive building demand response towards smart grids R Tang, S Wang, K Shan Automation in Construction 96, 250-261, 2018 | 27 | 2018 |
| Cooling supply-based HVAC system control for fast demand response of buildings to urgent requests of smart grids S Wang, D Gao, R Tang, F Xiao Energy Procedia 103, 34-39, 2016 | 26 | 2016 |
| An MPC-Based Optimal Control Strategy of Active Thermal Storage in Commercial Buildings during Fast Demand Response Events in Smart Grids R Tang, S Wang, L Xu Energy Procedia 158, 2506-2511, 2019 | 23 | 2019 |
| Field study on indoor air quality of urban apartments in severe cold region in China R Tang, Z Wang Atmospheric Pollution Research 9 (3), 552-560, 2018 | 22 | 2018 |
| Direct chiller power limiting for peak demand limiting control in buildings—Methodology and on-site validation K Shan, S Wang, R Tang Automation in Construction 85, 333-343, 2018 | 17 | 2018 |
| In-situ sensor calibration for building HVAC systems with limited information using general regression improved Bayesian inference G Li, J Xiong, R Tang, S Sun, C Wang Building and Environment 234, 110161, 2023 | 16 | 2023 |
| A machine learning-based control strategy for improved performance of HVAC systems in providing large capacity of frequency regulation service H Wang, Z Ding, R Tang, Y Chen, C Fan, J Wang Applied Energy 326, 119962, 2022 | 15 | 2022 |
Shengwei WangChair Professor of Building Energy and Automation, Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
