The energy demand of the data center (DC) industry has accounted for 2% of the total global
energy consumption, and its operating power consumption has reached 50 times that of the …

Understanding and accurately predicting complex three-dimensional (3D) temperature
distributions are critical in diverse domains, including climate science and industrial process …

To expedite the achievement of energy conservation and consumption reduction in data
centers, it is essential to not only utilize ambient energy effectively and maximally but also to …

Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …

In response to the need to improve the energy efficiency of data centers (DCs), system
designers now incorporate solutions such as continuous performance monitoring …

Traditional data center cooling methods cannot yet control cooling airflows and
temperatures on demand, creating an intrinsic inefficiency. A recent solution places row …

We developed control algorithms based on one of three artificial-intelligence-based
retraining techniques (sliding window, vector adaptation, and vector augmentation) to …

The increase in cloud computing and big data storage has led to significant growth in data
center (DC) infrastructure that is now estimated to consume more than 1.5% of the world's …

Current data center (DC) cooling architectures are inefficient due to (1) inherent airflow
efficiencies and (2) their inability to spatiotemporally control cooling airflow and DC …

To meet the thermal environment requirements for the continuous and stable operation of
information technology (IT) equipment in data rooms, the cooling system needs to operate …