Short-term Power Load Forecasting Method of Data Center Considering PUE

Short-term Power Load Forecasting Method of Data Center Considering PUE

In order to accurately predict the short-term power load of data centers, a short-term load forecasting model based on long- and short-term memory neural networks is proposed, which effectively compensates for the shortcomings of feed forward neural networks that cannot process the correlation infor...

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Bibliographic Details
Main Authors:	WU Jin-song, ZHANG Shao feng, XU Xiang-min, LI Shu-tao, HUANG Yong, LIAO Xiao
Format:	Article
Language:	zho
Published:	Harbin University of Science and Technology Publications 2021-12-01
Series:	Journal of Harbin University of Science and Technology
Subjects:	load forecasting data center deep learning power usage effectiveness long and short-term memory
Online Access:	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2028
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