Status, challenges, and potential for machine learning in understanding and applying heat transfer phenomena

MT Hughes, G Kini, S Garimella - Journal of Heat …, 2021 - asmedigitalcollection.asme.org
Abstract Machine learning (ML) offers a variety of techniques to understand many complex
problems in different fields. The field of heat transfer, and thermal systems in general, are …

Artificial neural network based prediction of control strategies for multiple air-cooling units in a raised-floor data center

VS Simon, A Siddarth… - 2020 19th IEEE Intersociety …, 2020 - ieeexplore.ieee.org
A data center cooling system consists of a hierarchy of systems with dedicated control
algorithms dictating their operational states. There exists a wide range in spatial and …

Design, Operation and Maintenance of Direct and Indirect Evaporative Cooling Systems in Data Center Thermal Management

AV Siddarth - 2021 - search.proquest.com
Design, Operation and Maintenance of Direct and Indirect Evaporative Cooling Systems in
Data Center Thermal Management Abstract Evaporative cooling is an alternative data center …