Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
Abstract
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.
Fields of Study & Subjects
Cloud Computing and Resource Management
Green IT and Sustainability
Big Data and Digital Economy
Publication details
- Journal / source
- 2026 IEEE PES International Meeting (PES IM)
- Publisher
- IEEE
- Pages
- 1–5
- Publication date
- 18 January 2026