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dc-rl

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

battery-management benchmark benchmarking benchmarking-framework carbon-footprint cooling-optimization data-center data-center-management energy-efficiency gymnasium

Creat：2023-06-01T03:16:11

Update：2025-03-21T03:28:25

https://hewlettpackard.github.io/dc-rl/index.html

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