Low-carbon data center optimization considering aggregated utilization of fragmented resources

International Journal of Electrical Power & Energy Systems 2026 Open access

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Authors: Jian Zhao, Zhongwen Zhang, Keran Huang, Bin Xu, Yuan Gao
DOI: 10.1016/j.ijepes.2026.111949
Cited by: 1
References: 44

Abstract

• A correlation model calculates compute-related power load from processor states. • Aggregated utilization method uses fragmented resources for low-carbon allocation. • A coordination framework integrates controllable resources and renewable energy.

Fields of Study & Subjects

Cloud Computing and Resource Management Parallel Computing and Optimization Techniques Advanced Optical Network Technologies

Publication details

Journal / source
International Journal of Electrical Power & Energy Systems
Publisher
Elsevier BV
Volume
178
Pages
111949–111949
Publication date
1 May 2026
Language
EN