A Hyperparameter Optimization Algorithm for the LSTM Temperature Prediction Model in Data Center

As the main tool to realize data mining and efficient knowledge acquisition in the era of big data, machine learning is widely used in data center energy-saving research. The temperature prediction model based on machine learning predicts the state of the data center according to the upcoming tasks....

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Veröffentlicht in:	Scientific programming 2022-12, Vol.2022, p.1-13
Hauptverfasser:	Wang, Simin, Ma, Chunmiao, Xu, Yixuan, Wang, Jinyu, Wu, Weiguo
Format:	Artikel
Sprache:	eng
Schlagworte:	Air conditioning Algorithms Big Data Computer centers Data centers Data mining Energy consumption Genetic algorithms Heat Iterative methods Knowledge acquisition Load Machine learning Model accuracy Neural networks Optimization Prediction models Random search method Refrigeration Servers Stability Task scheduling Time series Weighting methods
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