cooling-optimization

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HewlettPackard / 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-framework energy-efficiency machine-learning multi-agent-reinforcement-learning python sustainable-computing cooling-optimization data-center-management heterogeneous-reinforcement-learning workload-scheduling benchmarking carbon-footprint data-center gymnasium sustainability reinforcement-learningmulti-agent-systems gymnasium-environment
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