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Reducio: model reduction for data center predictive digital twins via physics-guided machine learning.

, , , and . BuildSys@SenSys, page 1-10. ACM, (2022)

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Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction., , , , , and . ACM Trans. Model. Comput. Simul., 33 (4): 11:1-11:24 (October 2023)Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control., , , , and . ICCPS, page 159-169. IEEE, (2022)ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models., , , , , and . BuildSys@SenSys, page 208-211. ACM, (2023)Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach., , , , , , , , and . CoRR, (2020)Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach., , , and . e-Energy, page 333-346. ACM, (2023)Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins., , , , , , , and . BuildSys@SenSys, page 200-209. ACM, (2020)Reducio: model reduction for data center predictive digital twins via physics-guided machine learning., , , and . BuildSys@SenSys, page 1-10. ACM, (2022)Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control., , , , and . e-Energy, page 114-126. ACM, (2023)Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning., , , and . IEEE Netw., 35 (6): 255-262 (2021)