Toward physics-guided safe deep reinforcement learning for green data center cooling control

Toward physics-guided safe deep reinforcement learning for green data center cooling control

Deep reinforcement learning (DRL) has shown good performance in tackling Markov decision process (MDP) problems. As DRL optimizes a long-term reward, it is a promising approach to improving the energy efficiency of data center cooling. However, enforcement of thermal safety constraints during DRL�...

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Bibliographic Details
Main Authors: Wang, Ruihang, Zhang, Xinyi, Zhou, Xin, Wen, Yonggang, Tan, Rui
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Data Center
Safe Reinforcement Learning
Energy Efficiency
Thermal Safety
Online Access:https://hdl.handle.net/10356/157736

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