A Temperature-Risk and Energy-Saving Evaluation Model for Supporting Energy-Saving Measures for Data Center Server Rooms

A Temperature-Risk and Energy-Saving Evaluation Model for Supporting Energy-Saving Measures for Data Center Server Rooms

As data centers have become increasingly important in recent years their operational management must attain higher efficiency and reliability. Moreover, the power consumption of a data center is extremely large, and it is anticipated that it will continue to increase, so energy saving has become an...

Full description

Bibliographic Details
Main Authors: Kosuke Sasakura, Takeshi Aoki, Masayoshi Komatsu, Takeshi Watanabe
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Energies
Subjects:
temperature prediction
energy simulation
baseline
machine learning
data center
server room
Online Access:https://www.mdpi.com/1996-1073/13/19/5222

Similar Items

Similar Items