Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning

Author:

Ran Yongyi¹^ORCID,Zhou Xin²,Hu Han³^ORCID,Wen Yonggang¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanyang Technological University, Singapore

2. School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China

3. School of Information and Electronics, Beijing Institute of Technolog, Beijing, China

Funder

National Research Foundation Singapore

Energy Research Test-Bed and Industry Partnership Funding Initiative

Energy Grid (EG) 2.0 Programme

National Research Foundation

NTUitive Gap Fund

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference42 articles.

4. Parametrized deep Q-networks learning: Reinforcement learning with discrete-continuous hybrid action space;xiong,2018

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献