Arman Shehabi

According to our database, Arman Shehabi authored at least 4 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Empirically-Calibrated H100 Node Power Models for Reducing Uncertainty in AI Training Energy Estimation.

Alex C. Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras

CoRR, June, 2025

Generalizable Machine Learning Models for Predicting Data Center Server Power, Efficiency, and Throughput.

Nuoa Lei, Arman Shehabi, Jun Lu, Zhi Cao, Jonathan Koomey, Sarah Smith, Eric R. Masanet

CoRR, March, 2025

2019

Toward Greener Gaming: Estimating National Energy Use and Energy Efficiency Potential.

Evan Mills, Norman Bourassa, Leo Rainer, Jimmy Mai, Arman Shehabi, Nathaniel Mills

Comput. Games J., 2019

2011

Estimating the Energy Use and Efficiency Potential of U.S. Data Centers.

Eric R. Masanet, Richard E. Brown, Arman Shehabi, Jonathan G. Koomey, Bruce Nordman

Proc. IEEE, 2011