| 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 | 319 | 2019 |
| 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 | 138 | 2018 |
| Building HVAC control with reinforcement learning for reduction of energy cost and demand charge Z Jiang, MJ Risbeck, V Ramamurti, S Murugesan, J Amores, C Zhang, ... Energy and Buildings 239, 110833, 2021 | 111 | 2021 |
| Beyond eco-feedback: adding online manual and automated controls to promote workplace sustainability R Yun, A Aziz, P Scupelli, B Lasternas, C Zhang, V Loftness Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing …, 2015 | 33 | 2015 |
| The design and evaluation of intelligent energy dashboard for sustainability in the workplace R Yun, A Aziz, B Lasternas, C Zhang, V Loftness, P Scupelli, Y Mo, J Zhao, ... Design, User Experience, and Usability. User Experience Design for Everyday …, 2014 | 29 | 2014 |
| Behavior oriented metrics for plug load energy savings in office environment B Lasternas, J Zhao, R Yun, C Zhang, H Wang, A Aziz, KP Lam, ... Proceedings of, 160-172, 2014 | 23 | 2014 |
| End-to-end deep reinforcement learning control for HVAC systems in office buildings X Zhong, Z Zhang, R Zhang, C Zhang Designs 6 (3), 52, 2022 | 17 | 2022 |
| The persistent effectiveness of online feedback and controls for sustainability in the workplace R Yun, A Aziz, B Lasternas, V Loftness, P Scupelli, C Zhang Energy Efficiency 10, 1143-1153, 2017 | 14 | 2017 |
| A timeseries supervised learning framework for fault prediction in chiller systems Z Jiang, MJ Risbeck, SCK Samy, C Zhang, S Cyrus, YM Lee Energy and Buildings 285, 112876, 2023 | 13 | 2023 |
| A deep reinforcement learning method for model-based optimal control of HVAC systems Z Zhang, C Zhang, KP Lam | 11 | 2018 |
| Less is more: Simplified state-action space for deep reinforcement learning based HVAC control S Murugesan, Z Jiang, MJ Risbeck, J Amores, C Zhang, V Ramamurti, ... Proceedings of the 1st international workshop on reinforcement learning for …, 2020 | 9 | 2020 |
| Maximize thermal comfort in open-plan offices by occupant-oriented control based on individual thermal profile W Zhang, C Zhang ASHRAE Transactions 125, 167-175, 2019 | 9 | 2019 |
| Building data platform with digital twin based inferences and predictions for a graphical building model R Ramanasankaran, C Zhang, A Shatdal, Y Lee US Patent 11,714,930, 2023 | 8 | 2023 |
| Bio-Sensing and Reinforcement Learning approaches for Occupant-Centric Control. C Zhang, Z Zhang, V Loftness ASHRAE Transactions 125 (2), 2019 | 7 | 2019 |
| A bio-sensing and reinforcement learning control system for personalized thermal comfort and energy efficiency C Zhang Carnegie Mellon University, 2019 | 6 | 2019 |
| Causal thinking: uncovering hidden assumptions and interpretations of statistical analysis in building science R Sun, S Schiavon, G Brager, E Arens, H Zhang, T Parkinson, C Zhang Building and Environment 259, 111530, 2024 | 5 | 2024 |
| A Modeling and Closed-Loop Planning Strategy to Achieve Net-Zero Energy Use in Buildings MJ Risbeck, C Zhang, S Cyrus, YM Lee FOCAPO/CPC, 2023 | 3 | 2023 |
| Data preprocessing and refinement tool ES Paulson, A Shatdal, ZY Jin, C Zhang, Y Park US Patent App. 17/170,634, 2022 | 3 | 2022 |
| Building management system with dynamic building model enhanced by digital twins ES Paulson, A Shatdal, ZY Jin, C Zhang, Y Park US Patent 12,231,496, 2025 | 2 | 2025 |
| Design optimization and closed-loop operational planning to achieve sustainability goals in buildings MJ Risbeck, S Cyrus, C Zhang, YM Lee Computers & Chemical Engineering 181, 108519, 2024 | 2 | 2024 |
Zhiang ZhangUniversity of Nottingham NingboE-mail megerősítve itt: nottingham.edu.cn
