Carbonbalance framework for carbon intensity forecasting and carbon aware scheduling of ai workloads

Authors

Subhankar Poddar
Mohammed Altaf Ahmed (ORCID: https://orcid.org/0000-0003-0355-7835)
Sanjit Kumar Dash (ORCID: https://orcid.org/0000-0003-4244-7591)
Qutubuddin Mohammed (ORCID: https://orcid.org/0009-0009-7585-1137)

Institutions

Prince Sattam Bin Abdulaziz University (SA)
Odisha University of Technology and Research

Publication Details

Journal: Discover Computing
Published: 2026-10-24
DOI: https://doi.org/10.1007/s10791-026-10708-7
Primary Topic: Energy Efficiency in Computing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Carbonbalance framework for carbon intensity forecasting and carbon aware scheduling of ai workloads

Subhankar Poddar, Mohammed Altaf Ahmed, Sanjit Kumar Dash, Qutubuddin Mohammed

Oct 24, 2026

Discover Computing

Energy Efficiency in Computing

article

Carbonbalance framework for carbon intensity forecasting and carbon aware scheduling of ai workloads

Subhankar Poddar, Mohammed Altaf Ahmed, Sanjit Kumar Dash, Qutubuddin Mohammed

October 24, 2026article en

Abstract

No abstract available for this paper.

Discover ComputingVol. 29(1)

Prince Sattam Bin Abdulaziz University (SA), Odisha University of Technology and Research

Openalex Percentile: Top 8%

Energy Efficiency in Computing

DOI Open Access PDF OpenAlex

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Carbonbalance framework for carbon intensity forecasting and carbon aware scheduling of ai workloads — Subhankar Poddar, Mohammed Altaf Ahmed, et al. · Discover Computing (2026) | TGRS Research Map | TGRS