A Time-Varying State-Space Model for Real-Time Temperature Predictions in Rack-Based Cooling Data Centers
APPLIED THERMAL ENGINEERING(2023)
Abstract
•Propose a time-varying state-space model for server rack temperature prediction.•Consider hot air recirculation and cold air bypass occurring simultaneously.•Adopt mass balance and parameter identification to obtain model parameters.•Predict temperature distributions with a mean absolute error of 0.28 °C.
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Key words
Rack-based cooling data center,Temperature prediction,Time-varying state-space model,Parameter identification
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