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Energy Management for Renewable-Colocated Artificial Intelligence Data Centers

arXiv 2507.08011 ↗First posted 4 Jul 2025math.OC cs.AI cs.SYcited by 0

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Abstract (arXiv)

We develop an energy management system (EMS) for artificial intelligence (AI) data centers with colocated renewable generation. Under a cost-minimizing framework, the EMS of renewable-colocated data center (RCDC) co-optimizes AI workload scheduling, on-site renewable utilization, and electricity market participation. Within both wholesale and retail market participation models, the economic benefit of the RCDC operation is maximized. Empirical evaluations using real-world traces of electricity prices, data center power consumption, and renewable generation demonstrate significant electricity cost reduction from renewable and AI data center colocations.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 22 references that are in the map. First posted on arXiv 4 Jul 2025.

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3 of 22 references.

References · 3

  1. 2021Towards a Systematic Survey for Carbon Neutral Data Centerscited by 7
  2. 2021Power Modeling for Effective Datacenter Planning and Compute Managementcited by 3
  3. 2025Renewable-Colocated Green Hydrogen Production: Optimal Scheduling and Profitabilitycited by 1

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