Research on data center computing resources and energy load Co-optimization considering spatial-temporal allocation-Reference-Cited by-同舟云学术

Research on data center computing resources and energy load Co-optimization considering spatial-temporal allocation

Published:2024-05 Issue: Volume:116 Page:109206
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Zhang Liting,Deng Junkai,Li Qifen,Yang Yongwen,Lei Ming

Funder

Scientific and Innovative Action Plan of Shanghai

Publisher

Elsevier BV

Reference28 articles.

1. Data center heated greenhouses, a matter for enhanced food self-sufficiency in sub-arctic regions;Ljungqvist;Energy,2021

2. Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction;Zhu;Sustain Cities Soc,2022

3. Carbon awareness oriented data center location and configuration: an integrated optimization method;Wang;Energy,2023

4. Modeling demand response capability by internet data centers processing batch computing jobs;Li;IEEE Trans Smart Grid,2015

5. Spatio-Temporal load balancing for energy cost optimization in distributed internet data centers;Luo;IEEE Trans Cloud Comput,2015

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1. Optimal scheduling of a cascade hydro-thermal-wind power system integrating data centers and considering the spatiotemporal asynchronous transfer of energy resources;Applied Energy;2025-01

2. Stochastic optimization for capacity configuration of data center microgrid thermal energy management equipment considering flexible resources;International Journal of Electrical Power & Energy Systems;2024-09