Madhumitha Katam

affiliation not provided to SSRN

Learn more about SSRN Profiles

SCHOLARLY PAPERS

1

DOWNLOADS

13

TOTAL CITATIONS

0

Feedback

Scholarly Papers (1)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

An operator-independent, geographically scalable artificial intelligence and Physics-based framework for assessing data center water, energy, and greenhouse gas impacts using actual cooling portfolios: A case study of Arizona

Number of pages: 50 Posted: 05 Jun 2026

Musie W. Atsbha, Madhumitha Katam, Saurav Kumar and Dwarakanath Ravikumar

Arizona State University (ASU), affiliation not provided to SSRN, Arizona State University (ASU) and Arizona State University (ASU)

Downloads 13

Abstract:

Feedback

All content on this site: Copyright © 2026 Elsevier Inc., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.

We use cookies to help provide and enhance our service and tailor content.

To learn more, visit .