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Chenlu Zhang
Chenlu Zhang
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
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
2322019
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
1202018
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
702021
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
332015
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
282014
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
202014
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
122017
A deep reinforcement learning method for model-based optimal control of HVAC systems
Z Zhang, C Zhang, KP Lam
102018
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
72022
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
62020
Bio-Sensing and Reinforcement Learning approaches for Occupant-Centric Control.
C Zhang, Z Zhang, V Loftness
ASHRAE Transactions 125 (2), 2019
62019
Maximize thermal comfort in open-plan offices by occupant-oriented control based on individual thermal profile
W Zhang, C Zhang
ASHRAE Transactions 125 (1), 167-176, 2019
62019
A bio-sensing and reinforcement learning control system for personalized thermal comfort and energy efficiency
C Zhang
Carnegie Mellon University, 2019
52019
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
32023
Data preprocessing and refinement tool
ES Paulson, A Shatdal, ZY Jin, C Zhang, Y Park
US Patent App. 17/170,634, 2022
22022
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
12024
Personalized Thermal Demand Prediction Algorithm Based on Wrist Temperature and Heart Beat.
L Li, C Zhang
ASHRAE Transactions 125 (2), 2019
12019
GATEWAY SYSTEM THAT MAPS POINTS INTO A GRAPH SCHEMA
K Samy, S Camilus, C Zhang, YM Lee
US Patent App. 17/940,411, 2024
2024
Building system that maps points into a graph schema
SCK SAMY, C Zhang, YM Lee
US Patent App. 17/940,408, 2024
2024
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 App. 18/213,744, 2023
2023
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