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A Hybrid Physics-Based And Data-Driven Modeling Framework For Energy And Water Use Analysis Of Data Centers With Spatio-Temporal Resolution

Description:

With the rapid growth of demand for data center services, the energy and water use of data centers has become a critical concern in the contexts of energy use, climate change, and freshwater conservation. Therefore, understanding, quantifying, and optimizing the use of energy and water resources in data centers has...

Keyword:

Data Center, Data-Driven Modeling, Thermodynamics, Information Technology, Energy-Water Nexus, and Energy and Sustainability

Subject:

Statistics, Sustainability, and Energy

Creator:

Lei, Nuoa

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

06/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:15929 and etdadmin_upload_879204