SG10201808290XA - Systems and methods for optimization of data center cooling - Google Patents

Systems and methods for optimization of data center cooling

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Publication number
SG10201808290XA
SG10201808290XA SG10201808290XA SG10201808290XA SG10201808290XA SG 10201808290X A SG10201808290X A SG 10201808290XA SG 10201808290X A SG10201808290X A SG 10201808290XA SG 10201808290X A SG10201808290X A SG 10201808290XA SG 10201808290X A SG10201808290X A SG 10201808290XA
Authority
SG
Singapore
Prior art keywords
data center
neural network
center cooling
cooling system
data
Prior art date
Application number
SG10201808290XA
Inventor
Yonggang Wen
Yuanlong Li
Original Assignee
Univ Nanyang Tech
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Nanyang Tech filed Critical Univ Nanyang Tech
Publication of SG10201808290XA publication Critical patent/SG10201808290XA/en

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  • Air Conditioning Control Device (AREA)
  • Feedback Control In General (AREA)

Abstract

SYSTEMS AND METHODS FOR OPTIMIZATION OF DATA CENTER COOLING Systems and methods for optimizing control parameters of a data center cooling system using reinforcement learning are disclosed. A method for optimizing control parameters for a data center cooling system, comprises: initializing an actor neutral network configured to generate an indication of a subsequent control action in response to an actor neural network input vector comprising an indication of a current state of the data center cooling system; initializing a critic neutral network configured to generate a cost indication in response to a critic neural network input vector comprising an indication of the current state of the data center cooling system and a subsequent control action; receiving trace data indicating control actions, previous states of the data center cooling system, and corresponding temperature data and energy usage data for the data center cooling system; training the critic neural network by determining a set of parameter weights for the critic neural network which minimizes error between an output of the critic neural network and reward data corresponding to the temperature data and energy usage data for the data center cooling system; training the actor neural network by determining a set of parameter weights for the actor neural network which minimize the cost indication generated by the critic neural network; and using the trained actor neural network to generate a set of control parameters for the data center cooling system. [Figure to be printed with ] 31
SG10201808290XA 2017-09-22 2018-09-24 Systems and methods for optimization of data center cooling SG10201808290XA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SG10201707838W 2017-09-22

Publications (1)

Publication Number Publication Date
SG10201808290XA true SG10201808290XA (en) 2019-04-29

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Application Number Title Priority Date Filing Date
SG10201808290XA SG10201808290XA (en) 2017-09-22 2018-09-24 Systems and methods for optimization of data center cooling

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Country Link
SG (1) SG10201808290XA (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021254589A1 (en) * 2020-06-15 2021-12-23 Huawei Technologies Co., Ltd. Method and system for a controller

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021254589A1 (en) * 2020-06-15 2021-12-23 Huawei Technologies Co., Ltd. Method and system for a controller

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